CN113777486A - Motor fault diagnosis method and device and motor fault diagnosis system - Google Patents
Motor fault diagnosis method and device and motor fault diagnosis system Download PDFInfo
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Abstract
The embodiment of the application provides a motor fault diagnosis method, a motor fault diagnosis device and a motor fault diagnosis system, wherein when a motor load runs, magnetic flux signals generated by at least one group of target stator winding pairs collected by a target magnetic flux sampling group are obtained; the magnetic flux signal comprises a first magnetic flux signal collected by a first target magnetic flux sensor and a second magnetic flux signal collected by a second target magnetic flux sensor; extracting a first magnetic flux amplitude corresponding to a first magnetic flux signal and a second magnetic flux amplitude corresponding to a second magnetic flux signal included in the magnetic flux signals to obtain a magnetic flux amplitude group; inputting the magnetic flux amplitude group into a plurality of different correlation models to obtain a correlation value output by each correlation model; determining a fault diagnosis result of at least one group of target stator winding pairs based on the plurality of correlation values; the accurate positioning of winding faults is realized, the fault winding can be maintained in time, and the damage of the motor is effectively avoided.
Description
Technical Field
The invention relates to the technical field of power detection, in particular to a motor fault diagnosis method and device and a motor fault diagnosis system.
Background
The motor is a device integrating a plurality of subjects such as electromagnetism, electricity, machinery and the like, the application occasion is complex, the controllability and the testability of the fault are influenced by a plurality of factors, and the randomness, the fuzziness and the uncertainty of the fault diagnosis of the motor are easily caused. According to statistics, the proportion of the motor winding short circuit and rotor broken bar faults in the fault types released by the motor exceeds 50%. When a short-circuit fault occurs in the winding of an electric machine, the insulation of the winding is degraded, so that an arc is generated inside the winding and contact is generated among several stator turns. If the short circuit fault of the winding cannot be processed in time, the short circuit fault of the winding can be quickly spread to other windings, so that the insulation of the motor is quickly aged, and the further development can cause the serious accidents such as shutdown and the like caused by the phase-to-phase short circuit or the ground fault.
The method mainly detects the short-circuit current to carry out frequency spectrum analysis so as to detect the unbalance or frequency spectrum of three-phase current caused by the short-circuit current, but the short-circuit current in some occasions cannot be directly measured, and other harmonic waves can be generated in the loading process of the motor so as to generate interference on fault diagnosis, and meanwhile, the method cannot accurately judge specific fault windings.
Disclosure of Invention
In view of this, the present invention provides a method and an apparatus for motor fault diagnosis, and a motor fault diagnosis system, which can accurately diagnose which winding is faulty, so as to facilitate timely maintenance and effectively avoid motor damage.
In a first aspect, the embodiment of the present invention provides a method for diagnosing a fault of a motor, where the method is applied to a controller of a fault diagnosis system, where the fault diagnosis system further includes a plurality of magnetic flux sampling sets in communication connection with the controller, and each magnetic flux sampling set includes a first magnetic flux sensor and a second magnetic flux sensor, which are coaxially and symmetrically disposed on a stator winding pair in a position where the stator winding pair is located; the method comprises the following steps: taking each magnetic flux sampling group as a target magnetic flux sampling group, and executing the following operations for each target magnetic flux sampling group: when the motor runs under a load, acquiring magnetic flux signals generated by at least one group of target stator winding pairs acquired by a target magnetic flux sampling group; the magnetic flux signals comprise a first magnetic flux signal collected by a first target magnetic flux sensor and a second magnetic flux signal collected by a second target magnetic flux sensor; extracting a first magnetic flux amplitude corresponding to a first magnetic flux signal and a second magnetic flux amplitude corresponding to a second magnetic flux signal included in the magnetic flux signals to obtain a magnetic flux amplitude group; inputting the magnetic flux amplitude group into a plurality of different correlation models to obtain a correlation value output by each correlation model; wherein the correlation value is used for representing the degree of correlation of the first magnetic flux signal and the second magnetic flux signal; a fault diagnosis result of at least one set of target stator winding pairs is determined based on the plurality of correlation values.
With reference to the first aspect, an embodiment of the present invention provides a possible implementation manner of the first aspect, wherein the step of determining a fault diagnosis result of at least one group of target stator winding pairs based on a plurality of correlation values includes: calculating a fault value based on the plurality of correlation values; judging whether the fault value is within a preset fault value range or not; if yes, determining that the fault diagnosis result is that at least one group of target stator winding pairs have faults; and if not, determining that the fault diagnosis result is that at least one group of target stator winding pair does not have fault.
With reference to one possible implementation manner of the first aspect, an embodiment of the present invention provides two possible implementation manners of the first aspect, where each correlation model is configured with a model weight; a step of calculating a fault value based on the plurality of correlation values, comprising: and calculating a fault value according to the correlation value output by each correlation model and the corresponding model weight.
With reference to one possible implementation manner of the first aspect, an embodiment of the present invention provides three possible implementation manners of the first aspect, where the step of calculating a fault value based on a plurality of correlation values includes: and carrying out mean value calculation or root mean square value calculation on the plurality of correlation values to obtain a fault value.
With reference to one possible implementation manner of the first aspect, an embodiment of the present invention provides four possible implementation manners of the first aspect, where failure level information is pre-stored in a controller, where each piece of failure level information corresponds to a failure level numerical range; the method further comprises the following steps: determining a target fault level numerical range corresponding to the fault value based on the fault value and each fault level numerical range; and determining the fault level information corresponding to the target fault level numerical range as the fault level of the target stator winding pair.
With reference to one possible implementation manner of the first aspect, an embodiment of the present invention provides five possible implementation manners of the first aspect, where after determining that the fault diagnosis result is that at least one group of target stator windings has a fault, the method further includes: generating a fault alarm instruction and a power-off protection instruction; sending a fault alarm instruction to alarm equipment to trigger the alarm equipment to carry out alarm prompt; and sending the power-off protection instruction to the motor to trigger the motor to power off.
In a second aspect, the embodiment of the present invention further provides an apparatus for motor fault diagnosis, where the apparatus is applied to a controller of a fault diagnosis system, the fault diagnosis system further includes a plurality of magnetic flux sampling groups in communication connection with the controller, the number of the magnetic flux sampling groups is the same as that of stator winding pairs of the motor, each magnetic flux sampling group includes a first magnetic flux sensor and a second magnetic flux sensor, which are coaxially and symmetrically disposed on a stator at a position where the stator winding pair is located; the device includes: and the execution module is used for respectively taking each magnetic flux sampling group as a target magnetic flux sampling group, and the following operations are executed for each target magnetic flux sampling group: the acquisition module is used for acquiring magnetic flux signals generated by at least one group of target stator winding pairs acquired by the target magnetic flux sampling group when the motor is in load operation; the magnetic flux signals comprise a first magnetic flux signal collected by a first target magnetic flux sensor and a second magnetic flux signal collected by a second target magnetic flux sensor; the extraction module is used for extracting a first magnetic flux amplitude corresponding to a first magnetic flux signal and a second magnetic flux amplitude corresponding to a second magnetic flux signal included in the magnetic flux signals to obtain a magnetic flux amplitude set; the input module is used for inputting the magnetic flux amplitude group into a plurality of different correlation models to obtain a correlation value output by each correlation model; wherein the correlation value is used for representing the degree of correlation of the first magnetic flux signal and the second magnetic flux signal; a diagnostic module to determine whether at least one set of target stator winding pairs is malfunctioning based on the plurality of correlation values.
In a third aspect, embodiments of the present invention further provide a motor fault diagnosis system, where the system includes a controller, and a plurality of magnetic flux sampling sets in communication with the controller, where each magnetic flux sampling set includes a first magnetic flux sensor and a second magnetic flux sensor, which are coaxially and symmetrically disposed on a stator winding pair at positions of the stator winding pair; the magnetic flux sampling group is used for collecting magnetic flux signals generated by the stator winding pair and sending the magnetic flux signals to the controller; the controller is used for receiving the magnetic flux signal and executing the motor fault diagnosis method.
In combination with the third aspect, an embodiment of the present invention provides a possible implementation manner of the third aspect, where the system further includes a synchronous sampling converter, a voltage source, and a monitoring management platform, where the synchronous sampling converter is further connected to the magnetic flux sampling group; the synchronous sampling converter is used for carrying out analog-to-digital conversion on the magnetic flux signals acquired by the magnetic flux sampling group and sending the magnetic flux signals subjected to the analog-to-digital conversion to the controller; the voltage source is used for providing electric energy for the controller; the monitoring management platform is used for receiving the magnetic flux signal and the fault diagnosis result sent by the controller.
In a fourth aspect, the embodiment of the present invention further provides an electronic device, which includes a processor and a memory, where the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the method described above.
In a fifth aspect, the embodiments of the present invention also provide a computer-readable storage medium, where the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are called and executed by a processor, the computer-executable instructions cause the processor to implement the above-mentioned method.
The embodiment of the invention has the following beneficial effects:
the embodiment of the application provides a motor fault diagnosis method, a motor fault diagnosis device and a motor fault diagnosis system, wherein when a motor load runs, magnetic flux signals generated by at least one group of target stator winding pairs collected by a target magnetic flux sampling group are obtained; the magnetic flux signal comprises a first magnetic flux signal collected by a first target magnetic flux sensor and a second magnetic flux signal collected by a second target magnetic flux sensor; extracting a first magnetic flux amplitude corresponding to a first magnetic flux signal and a second magnetic flux amplitude corresponding to a second magnetic flux signal included in the magnetic flux signals to obtain a magnetic flux amplitude group; inputting the magnetic flux amplitude group into a plurality of different correlation models to obtain a correlation value output by each correlation model; a fault diagnosis result of at least one set of target stator winding pairs is determined based on the plurality of correlation values. In this application because every magnetic flux sampling group can gather and correspond at least a set of stator winding to the magnetic flux signal of formation, can accurately determine at least a set of stator winding to breaking down according to the correlation value that the magnetic flux signal obtained under different correlation models to realized the accurate location of winding trouble, and can in time maintain the trouble winding, effectively avoid the motor to damage.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic structural diagram of a fault diagnosis system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a magnetic flux sampling group deployment according to an embodiment of the present invention;
fig. 3 is a flowchart of a method for diagnosing a fault of a motor according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a motor fault diagnosis apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of another motor fault diagnosis system provided in the embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In view of the problem that the existing current measurement method cannot accurately judge the specific faulty winding, the method, the device and the system for diagnosing the motor fault provided by the embodiment of the invention can acquire the magnetic flux signals generated by corresponding at least one group of stator winding pairs through each magnetic flux sampling group, and can accurately determine whether the at least one group of stator winding pairs has the fault according to the correlation values obtained by the magnetic flux signals under different correlation models, so that the accurate positioning of the winding fault is realized, the faulty winding can be timely maintained, and the motor damage is effectively avoided.
To facilitate understanding of the present embodiment, a method for diagnosing a motor fault according to an embodiment of the present invention will be described in detail below. The implementation subject is a controller of a fault diagnosis system, fig. 1 shows a schematic structural diagram of the fault diagnosis system, as shown in fig. 1, the fault diagnosis system includes a controller 100, and further includes a plurality of magnetic flux sampling groups 101 communicatively connected to the controller 100, each magnetic flux sampling group 101 includes a first magnetic flux sensor 102 and a second magnetic flux sensor 103 coaxially and symmetrically disposed on a stator at a position where a stator winding pair is located; in fig. 1, only 3 magnetic flux sampling groups 101 are shown as an example, and the number of the magnetic flux sampling groups is specifically the same as that of the stator winding pairs of the motor, and therefore, the number of the magnetic flux sampling groups is not limited herein.
For convenience of understanding, fig. 2 shows a deployment schematic diagram of a magnetic flux sampling group, and 5 pairs of illustrated stator winding pairs are illustrated in fig. 2 as an example, each pair of stator winding pairs is composed of two stator windings symmetric to an axis 200, where a stator winding 0 and a stator winding 5 form a stator winding pair, a stator winding 1 and a stator winding 6 form a stator winding pair, and so on, which are not described herein again.
In actual use, because the stator box outside the motor does not facilitate the installation of the magnetic flux sampling group at the position, therefore, the magnetic flux signal generated by the stator winding pair can be sampled by a magnetic flux sampling group installed nearby, as shown in fig. 2, because of the stator boxes at the positions of the stator winding 1 and the stator winding 6, therefore, the magnetic flux signals generated by the stator winding 1 and the stator winding 6 can be collected by the first magnetic flux sensor 102 and the second magnetic flux sensor 103 adhered to the stator winding 0 and the stator winding 5, therefore, the first magnetic flux sensor 102 and the second magnetic flux sensor 103 can be collected from the stator winding 0 and the stator winding 5, the magnetic flux signals of the stator winding 1 and the stator winding 6 can be set according to actual needs, and are not limited herein; the first magnetic flux sensor 102 and the second magnetic flux sensor 103 which are adhered to the stator need to be symmetrically arranged coaxially, and the axis needs to pass through the axis of the motor.
Specifically, the magnetic flux sampling group is used for collecting magnetic flux signals generated by the stator winding pair and sending the magnetic flux signals to the controller; the controller is configured to receive the magnetic flux signal and perform a method of motor fault diagnosis described below.
Based on the controller, an embodiment of the present invention provides a method for diagnosing a motor fault, such as a flowchart of the method for diagnosing a motor fault shown in fig. 3, where the method includes the following steps:
step S302 is to set each magnetic flux sample group as a target magnetic flux sample group, and the steps S304 to S310 are executed for each target magnetic flux sample group:
step S304, when the motor load runs, magnetic flux signals generated by at least one group of target stator winding pairs collected by the target magnetic flux sampling group are obtained; the magnetic flux signals comprise a first magnetic flux signal collected by a first target magnetic flux sensor and a second magnetic flux signal collected by a second target magnetic flux sensor;
when the motor is in load operation, the stator windings can generate a magnetic field, and in the embodiment, the first magnetic flux signal and the second magnetic flux signal generated by at least one group of target stator winding pairs corresponding to the target magnetic flux sampling group can be collected by the first target magnetic flux sensor and the second target magnetic flux sensor of the target magnetic flux sampling group.
In the previous example, as shown in fig. 2, magnetic flux signals at the stator winding 0 and the stator winding 5, and at the stator winding 1 and the stator winding 6 may be collected by the target magnetic flux sampling group attached to the positions of the stator winding 0 and the stator winding 5, and magnetic flux signals generated by the stator winding 2 and the stator winding 7, the stator winding 3 and the stator winding 8, and the stator winding 4 and the stator winding 9 may be respectively collected by the target magnetic flux sampling group disposed on the stator at the positions of the stator winding.
Step S306, extracting a first magnetic flux amplitude corresponding to a first magnetic flux signal and a second magnetic flux amplitude corresponding to a second magnetic flux signal included in the magnetic flux signals to obtain a magnetic flux amplitude group;
step S308, inputting the magnetic flux amplitude group into a plurality of different correlation models to obtain a correlation value output by each correlation model; wherein the correlation value is used for representing the degree of correlation of the first magnetic flux signal and the second magnetic flux signal;
the correlation model is a pearson correlation model, a spearman correlation model, or a correlation neural network model that is trained in advance by using the magnetic flux amplitude, and the type and number of the correlation models are not limited herein.
Step S310, determining a fault diagnosis result of at least one group of target stator winding pairs based on the plurality of correlation values.
The determination of the fault diagnosis result may be realized by steps a1 to a 4:
a step a1 of calculating a fault value based on the plurality of correlation values;
in actual use, each correlation model is configured with a model weight, where the model weight is used to represent the importance degree between multiple correlation models, and the greater the model weight is, the higher the importance degree of the correlation model is, and the model weight may be set according to actual needs, and is not limited herein.
In this embodiment, a correlation model is taken as two correlation models, i.e., a pearson correlation model and a spearman correlation model, as an example, where the model weight of the pearson correlation model is set to 0.7 and the model weight of the spearman correlation model is set to 0.3, where the correlation value output by the pearson correlation model is 0.6 and the correlation value output by the spearman correlation model is 0.5, and the calculated fault value is: 0.6 × 0.7+0.3 × 0.5 ═ 0.57.
Or, carrying out mean value calculation or root mean square value calculation on the plurality of correlation values to obtain a fault value; the method of calculating the failure value is not limited herein.
Step A2, judging whether the fault value is in the preset fault value range;
specifically, the surface of the motor induces a certain air gap radial magnetic field, and has a certain proportional relation with the air gap magnetic field in the motor. In a healthy situation, the distribution of the electric field lines of the magnetic field of the motor remains almost symmetrical around the motor, i.e. the magnetic flux signals of the magnetic field are positively correlated, so that in the present embodiment, when the fault value is closer to 1, it indicates that there is a strong positive linear correlation between the magnetic flux signals collected by the first magnetic flux sensor and the second magnetic flux sensor, which indicates that the stator winding is not faulty.
However, when the stator winding has a fault, the magnetic field distribution around the motor changes due to a new stator current distribution generated by the fault part, and loses its symmetry, that is, the magnetic flux signals of the magnetic field are not positively correlated, so in this embodiment, when the fault value is closer to 0 or-1, it indicates that there is no linear correlation or a negative linear correlation between the magnetic flux signals collected by the first magnetic flux sensor and the second magnetic flux sensor, which indicates that the stator winding has a fault, so the preset fault value range may be set as: two ranges of [ -0.09, 0.09] and [1.02, 0.98], determining that the stator winding pair is faulty when the fault value is within the two preset fault value ranges, performing step A3, and determining that the stator winding pair is not faulty when the fault value is not within the two preset fault value ranges, performing step a 4.
Step A3, determining the fault diagnosis result as that at least one group of target stator winding pair has faults;
continuing with the previous example, if the calculated fault values of the magnetic flux signals at the stator windings 0 and 5, and at the stator windings 1 and 6 are within the preset fault value range, it can be determined that the stator windings at the two positions have faults to one or two groups. If the calculated fault values of the magnetic flux signals generated by the stator windings 2 and 7 are within the preset fault value range, the fault of the stator winding pair can be determined.
Step A4, determining the fault diagnosis result as that at least one group of target stator winding pair is not in fault.
The embodiment of the application provides a motor fault diagnosis method, wherein when a motor load runs, magnetic flux signals generated by at least one group of target stator winding pairs collected by a target magnetic flux sampling group are obtained; the magnetic flux signal comprises a first magnetic flux signal collected by a first target magnetic flux sensor and a second magnetic flux signal collected by a second target magnetic flux sensor; extracting a first magnetic flux amplitude corresponding to a first magnetic flux signal and a second magnetic flux amplitude corresponding to a second magnetic flux signal included in the magnetic flux signals to obtain a magnetic flux amplitude group; inputting the magnetic flux amplitude group into a plurality of different correlation models to obtain a correlation value output by each correlation model; a fault diagnosis result of at least one set of target stator winding pairs is determined based on the plurality of correlation values. In this application because every magnetic flux sampling group can gather and correspond at least a set of stator winding to the magnetic flux signal of formation, can accurately determine at least a set of stator winding to breaking down according to the correlation value that the magnetic flux signal obtained under different correlation models to realized the accurate location of winding trouble, and can in time maintain the trouble winding, effectively avoid the motor to damage.
Normally, failure level information is stored in the controller in advance, wherein each failure level information corresponds to a failure level numerical range; the fault grade can be determined based on the fault value, so that a maintenance worker can know the current fault situation based on the divided fault grades to perform corresponding measure processing based on different fault situations, and the process of specifically determining the fault grade can be realized through steps B1 to B2:
step B1, determining a target fault level numerical range corresponding to the fault value based on the fault value and each fault level numerical range;
and step B2, determining the fault level information corresponding to the target fault level numerical range as the fault level of the target stator winding pair.
For example, the configured level information includes a first-level fault level, a second-level fault level, and a third-level fault level, where the higher the fault level is, the more serious the fault is, where the fault level numerical range corresponding to the first-level fault level is [ -0.07, 0.07], the fault level numerical range corresponding to the second-level fault level is [ -0.05, 0.05], the fault level numerical range corresponding to the third-level fault level is [ -0.03, 0.03], and if the calculated fault value is 0.04, the fault value is in the range of [ -0.05, 0.05], so that the fault level can be determined as the second-level fault level, and a maintenance person can take corresponding maintenance measures for different fault levels to repair the motor fault as soon as possible.
In order to inform maintenance personnel to maintain the motor in time, a fault alarm instruction and a power-off protection instruction can be generated after the fault diagnosis result is determined to be that the target stator winding has a fault; sending a fault alarm instruction to alarm equipment to trigger the alarm equipment to carry out alarm prompt; and sending the power-off protection instruction to the motor to trigger the motor to power off.
The alarm device is in communication connection with the controller, and the alarm device may be a communication device of a maintenance worker, or a lighting device, a voice device, an alarm platform, or the like, which is not limited herein. The warning device can give warning prompts to maintenance personnel in time, so that the maintenance personnel can reach the motor site in time for maintenance. And the motor is controlled to be powered off and stopped running in time while the alarm is sent out, so that other chain accidents caused by fault running are avoided.
In practical use, the magnetic flux sampling group in communication connection with the controller may also be a group of movable magnetic flux sampling groups, where the magnetic flux sampling group includes a first magnetic flux sensor and a second magnetic flux sensor, the first magnetic flux sensor and the second magnetic flux sensor firstly deploy the magnetic flux sampling group on the stator, and then the above steps S304-S310 are performed to determine whether the corresponding at least one group of stator winding group has a fault, if so, the alarm and power off are performed, if not, the controller continues to control the magnetic flux sampling group to move to the position of the other stator, and the above steps are repeated to diagnose whether the corresponding at least one group of stator winding group at the position has the fault.
Corresponding to the method embodiment, the embodiment of the invention also provides a device for motor fault diagnosis, wherein the device is applied to a controller of a fault diagnosis system, the fault diagnosis system further comprises a plurality of magnetic flux sampling groups in communication connection with the controller, and each magnetic flux sampling group comprises a first magnetic flux sensor and a second magnetic flux sensor which are coaxially and symmetrically arranged on the stator at the position of the stator winding pair; fig. 4 is a schematic structural diagram of a motor fault diagnosis apparatus, which includes, as shown in fig. 4:
an executing module 402, configured to take each magnetic flux sample group as a target magnetic flux sample group, and perform the following operations for each target magnetic flux sample group:
an obtaining module 404, configured to obtain, when a motor load operates, a magnetic flux signal generated by at least one set of target stator winding pairs collected by a target magnetic flux sampling group; the magnetic flux signals comprise a first magnetic flux signal collected by a first target magnetic flux sensor and a second magnetic flux signal collected by a second target magnetic flux sensor;
the extracting module 406 is configured to extract a first magnetic flux amplitude corresponding to a first magnetic flux signal and a second magnetic flux amplitude corresponding to a second magnetic flux signal included in the magnetic flux signal, so as to obtain a magnetic flux amplitude set;
an input module 408, configured to input the magnetic flux amplitude group into multiple different correlation models to obtain a correlation value output by each correlation model; wherein the correlation value is used for representing the degree of correlation of the first magnetic flux signal and the second magnetic flux signal;
a diagnostic module 410 for determining whether at least one set of target stator winding pairs is malfunctioning based on the plurality of correlation values.
The embodiment of the application provides a motor fault diagnosis device, wherein when a motor load runs, magnetic flux signals generated by at least one group of target stator winding pairs collected by a target magnetic flux sampling group are obtained; the magnetic flux signal comprises a first magnetic flux signal collected by a first target magnetic flux sensor and a second magnetic flux signal collected by a second target magnetic flux sensor; extracting a first magnetic flux amplitude corresponding to a first magnetic flux signal and a second magnetic flux amplitude corresponding to a second magnetic flux signal included in the magnetic flux signals to obtain a magnetic flux amplitude group; inputting the magnetic flux amplitude group into a plurality of different correlation models to obtain a correlation value output by each correlation model; a fault diagnosis result of at least one set of target stator winding pairs is determined based on the plurality of correlation values. In this application because every magnetic flux sampling group can gather and correspond at least a set of stator winding to the magnetic flux signal of formation, can accurately determine at least a set of stator winding to breaking down according to the correlation value that the magnetic flux signal obtained under different correlation models to realized the accurate location of winding trouble, and can in time maintain the trouble winding, effectively avoid the motor to damage.
The motor fault diagnosis device provided by the embodiment of the invention has the same technical characteristics as the motor fault diagnosis method provided by the embodiment, so that the same technical problems can be solved, and the same technical effects can be achieved.
On the basis of fig. 1, fig. 5 shows a schematic structural diagram of another motor fault diagnosis system, as shown in fig. 5, the system further includes a synchronous sampling converter 500 connected to the controller 100, a voltage source 501, and a monitoring management platform 502, where the synchronous sampling converter 500 is further connected to the magnetic flux sampling group 101.
The synchronous sampling converter is used for carrying out analog-to-digital conversion on the magnetic flux signals acquired by the magnetic flux sampling group and sending the magnetic flux signals subjected to the analog-to-digital conversion to the controller; the voltage source is used for providing electric energy for the controller; the monitoring management platform is used for receiving the magnetic flux signal and the fault diagnosis result sent by the controller.
During specific implementation, the magnetic flux signals collected by the magnetic flux sampling group are analog signals, and the controller can only process digital signals, so that the magnetic flux signals collected by the magnetic flux sampling group are firstly sent to the synchronous sampling converter for signal conversion, the analog signals are converted into digital signals and then sent to the controller, and the controller diagnoses the fault of the stator winding according to the converted magnetic flux signals.
Specifically, the controller may be connected to the monitoring management platform through a network communication interface, and the monitoring management platform may display the received magnetic flux signal and the fault diagnosis result on a platform display interface.
An electronic device is further provided in the embodiment of the present application, as shown in fig. 6, which is a schematic structural diagram of the electronic device, where the electronic device includes a processor 121 and a memory 120, the memory 120 stores computer-executable instructions that can be executed by the processor 121, and the processor 121 executes the computer-executable instructions to implement the above-mentioned method for diagnosing the motor fault.
In the embodiment shown in fig. 6, the electronic device further comprises a bus 122 and a communication interface 123, wherein the processor 121, the communication interface 123 and the memory 120 are connected by the bus 122.
The Memory 120 may include a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 123 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like may be used. The bus 122 may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus 122 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one double-headed arrow is shown in FIG. 6, but that does not indicate only one bus or one type of bus.
The processor 121 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 121. The Processor 121 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and the processor 121 reads information in the memory and completes the steps of the method for diagnosing motor faults of the foregoing embodiment in combination with hardware thereof.
The embodiment of the present application further provides a computer-readable storage medium, where the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are called and executed by a processor, the computer-executable instructions cause the processor to implement the method for diagnosing the motor fault, where specific implementation may refer to the foregoing method embodiment, and details are not described herein again.
The method and the apparatus for motor fault diagnosis and the computer program product of the motor fault diagnosis system provided in the embodiments of the present application include a computer-readable storage medium storing program codes, where instructions included in the program codes may be used to execute the method described in the foregoing method embodiments, and specific implementation may refer to the method embodiments, and will not be described herein again.
Unless specifically stated otherwise, the relative steps, numerical expressions, and values of the components and steps set forth in these embodiments do not limit the scope of the present application.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In the description of the present application, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present application. Furthermore, the terms "first," "second," and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the exemplary embodiments of the present application, and are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. The method is applied to a controller of a fault diagnosis system, the fault diagnosis system further comprises a plurality of magnetic flux sampling groups which are in communication connection with the controller, each magnetic flux sampling group comprises a first magnetic flux sensor and a second magnetic flux sensor which are coaxially and symmetrically arranged on a stator winding pair in the position of the stator; the method comprises the following steps:
taking each magnetic flux sampling group as a target magnetic flux sampling group, and executing the following operations for each target magnetic flux sampling group:
when the motor load runs, acquiring a magnetic flux signal generated by at least one group of target stator winding pairs acquired by the target magnetic flux sampling group; wherein the magnetic flux signal comprises a first magnetic flux signal collected by a first target magnetic flux sensor and a second magnetic flux signal collected by a second target magnetic flux sensor;
extracting a first magnetic flux amplitude corresponding to a first magnetic flux signal and a second magnetic flux amplitude corresponding to a second magnetic flux signal included in the magnetic flux signals to obtain a magnetic flux amplitude group;
inputting the magnetic flux amplitude value set into a plurality of different correlation models to obtain a correlation value output by each correlation model; wherein the correlation value is used to characterize the degree of correlation of the first and second magnetic flux signals;
determining a fault diagnosis result of the at least one target stator winding pair based on a plurality of the correlation values.
2. The method of claim 1, wherein the step of determining a fault diagnosis result for the at least one target stator winding pair based on the plurality of correlation values comprises:
calculating a fault value based on a plurality of said correlation values;
judging whether the fault value is within a preset fault value range or not;
if yes, determining that the fault diagnosis result is that the at least one group of target stator winding pairs have faults;
if not, determining that the fault diagnosis result is that the at least one group of target stator winding pair does not have faults.
3. The method of claim 2, wherein each of the correlation models is configured with a model weight;
a step of calculating a fault value based on a plurality of said correlation values, comprising:
and calculating a fault value according to the correlation value output by each correlation model and the corresponding model weight.
4. The method of claim 2, wherein the step of calculating a fault value based on a plurality of said correlation values comprises:
and carrying out mean value calculation or root mean square value calculation on the plurality of correlation values to obtain a fault value.
5. The method according to claim 2, wherein failure level information is stored in advance in the controller, wherein each failure level information corresponds to a failure level numerical range; the method further comprises the following steps:
determining a target fault level numerical range corresponding to the fault value based on the fault value and each fault level numerical range;
and determining the fault level information corresponding to the target fault level numerical range as the fault level of the target stator winding pair.
6. The method of claim 2, wherein after determining that the fault diagnostic result is that the at least one set of target stator windings are faulty, the method further comprises:
generating a fault alarm instruction and a power-off protection instruction;
sending the fault alarm instruction to alarm equipment to trigger the alarm equipment to carry out alarm prompt;
and sending the power-off protection instruction to the motor to trigger the motor to power off.
7. The device for motor fault diagnosis is applied to a controller of a fault diagnosis system, and the fault diagnosis system further comprises a plurality of magnetic flux sampling groups which are in communication connection with the controller, wherein each magnetic flux sampling group comprises a first magnetic flux sensor and a second magnetic flux sensor which are coaxially and symmetrically arranged on a stator winding pair at the position of the stator; the device comprises:
an execution module, configured to take each magnetic flux sampling group as a target magnetic flux sampling group, respectively, and perform the following operations for each target magnetic flux sampling group:
the acquisition module is used for acquiring magnetic flux signals generated by at least one group of target stator winding pairs acquired by the target magnetic flux sampling group when the motor load runs; wherein the magnetic flux signal comprises a first magnetic flux signal collected by a first target magnetic flux sensor and a second magnetic flux signal collected by a second target magnetic flux sensor;
the extraction module is used for extracting a first magnetic flux amplitude corresponding to a first magnetic flux signal and a second magnetic flux amplitude corresponding to a second magnetic flux signal included in the magnetic flux signals to obtain a magnetic flux amplitude set;
the input module is used for inputting the magnetic flux amplitude value set into a plurality of different correlation models to obtain a correlation value output by each correlation model; wherein the correlation value is used to characterize the degree of correlation of the first and second magnetic flux signals;
a diagnostic module to determine whether the at least one set of target stator winding pairs is malfunctioning based on a plurality of the correlation values.
8. A motor fault diagnosis system is characterized by comprising a controller and a plurality of magnetic flux sampling groups in communication connection with the controller, wherein each magnetic flux sampling group comprises a first magnetic flux sensor and a second magnetic flux sensor which are coaxially and symmetrically arranged on a stator winding pair at the position of a stator;
the magnetic flux sampling group is used for collecting magnetic flux signals generated by the stator winding pair and sending the magnetic flux signals to the controller;
the controller is used for receiving the magnetic flux signal and executing the motor fault diagnosis method of any one of claims 1 to 6.
9. The system of claim 8, further comprising a synchronous sampling converter, a voltage source, and a monitoring management platform connected to the controller, the synchronous sampling converter further connected to the set of magnetic flux samples;
the synchronous sampling converter is used for carrying out analog-to-digital conversion on the magnetic flux signals acquired by the magnetic flux sampling group and sending the magnetic flux signals subjected to the analog-to-digital conversion to the controller;
the voltage source is used for providing electric energy for the controller;
the monitoring management platform is used for receiving the magnetic flux signal and the fault diagnosis result sent by the controller.
10. An electronic device comprising a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the method of any one of claims 1 to 6.
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Application publication date: 20211210 |