CN114216680A - High-speed rotor kurtosis detection fault diagnosis device and method - Google Patents
High-speed rotor kurtosis detection fault diagnosis device and method Download PDFInfo
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- 238000007789 sealing Methods 0.000 claims abstract description 30
- 230000007246 mechanism Effects 0.000 claims abstract description 25
- 238000002955 isolation Methods 0.000 claims abstract description 10
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- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
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Abstract
The invention discloses a fault diagnosis device and a method for detecting kurtosis of a high-speed rotor, wherein the fault diagnosis device comprises a vibration isolation table; a bracket disposed on the vibration isolation table; the sealing mechanism is connected with the bracket to form an accommodating space for accommodating the high-speed rotor to be detected; the vibration sensor is arranged on the sealing mechanism and is connected with the high-speed rotor to be detected; the vibration sensor is used for acquiring operation parameters of the high-speed rotor to be detected in a working state so as to judge whether the high-speed rotor to be detected has faults or not according to the operation parameters. The fault diagnosis device can improve the accuracy of mechanical fault detection of the high-speed rotor, effectively enrich the means of fault detection of the high-speed rotor, and improve the long-term operation reliability of products.
Description
Technical Field
The invention relates to the field of space actuating mechanisms, in particular to a high-speed rotor kurtosis detection fault diagnosis device and method.
Background
The control moment gyro is used as an actuating mechanism of the space vehicle, and the reliability of the control moment gyro directly influences the maneuverability and agility of the space vehicle. The long service life and reliability of the high-speed rotor of the control moment gyro are particularly important because the control moment gyro needs to continuously run on the rail. Because the working principle of the control moment gyroscope is the exchange of angular momentum, the failure of the high-speed rotor means the failure of the control moment gyroscope, and the on-orbit stability of the high-speed rotor becomes the key for restricting the service life of the control moment gyroscope.
In recent years, kurtosis detection is widely applied to fault diagnosis of rolling bearings, a weak impact signal at the initial stage of a rolling bearing fault can be effectively extracted, the principle is that the fault impact signal is amplified through the natural frequency of the bearing or the resonance frequency of a sensor, and a kurtosis detection method is sensitive to impact components in the signal and can detect hidden transient information in the signal. Therefore, it is a very effective detection and diagnosis method to process the bearing vibration signal by using the kurtosis detection method to study the bearing operation state. However, in the related art, the fault diagnosis of the high-speed rotor of the control moment gyro mainly depends on the current value, and the detection means is relatively lacked, so that the reliability of the product on the track is difficult to ensure.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art. Therefore, a first object of the present invention is to provide a high-speed rotor kurtosis detection and fault diagnosis apparatus, which can effectively enrich the high-speed rotor fault detection means and improve the long-term operation reliability of the product.
The second purpose of the invention is to provide a high-speed rotor kurtosis detection fault diagnosis method.
In order to achieve the purpose, the invention is realized by the following technical scheme:
a high-speed rotor kurtosis detection fault diagnosis device comprises a vibration isolation table 500; a bracket 300 disposed on the vibration isolation table 500; the sealing mechanism 200 is connected with the bracket 300 to form an accommodating space for accommodating the high-speed rotor 204 to be detected; the vibration sensor 100 is arranged on the sealing mechanism 200 and is connected with the high-speed rotor 204 to be detected; the vibration sensor 100 is configured to acquire an operation parameter of the high-speed rotor 204 to be detected in a working state, so as to determine whether the high-speed rotor 204 to be detected has a fault according to the operation parameter.
Optionally, the high-speed rotor kurtosis detection and fault diagnosis apparatus further includes a determining module, connected to the vibration sensor 100, configured to calculate a kurtosis value of the high-speed rotor 204 to be detected according to a pre-obtained standard vibration signal and the operation parameter, and determine whether a fault exists in the high-speed rotor 204 according to the kurtosis value.
Optionally, the determining module calculates a kurtosis value of the high-speed rotor 204 according to the following formula:
wherein y (t) is a mixed signal of a high-speed rotor fault feature extraction signal and noise; s (t) is a standard vibration signal; kys is the kurtosis value of the high speed rotor; e is a mathematical expectation;
when the kurtosis value is larger than a fault preset value, the high-speed rotor (204) has a fault, and when the kurtosis value is smaller than or equal to the fault preset value, the high-speed rotor (204) runs normally.
Optionally, the high-speed rotor kurtosis detection fault diagnosis apparatus further includes: and a vacuum flapper valve 400 connected with the sealing mechanism 200 through the bracket 300 and used for hermetically pumping the sealing mechanism 200 so as to enable the high-speed rotor 204 to run and test under actual working conditions.
Optionally, the sealing mechanism 200 comprises: a vacuum enclosure 201; the valve core 202 penetrates through the vacuum cover 201 and is connected with one end of a shaft system of the high-speed rotor 204 to be detected; and a base 203 fixed on the bracket 300, wherein the base 203 is connected with the vacuum cover 201 in a sealing way.
Optionally, the high-speed rotor kurtosis detection fault diagnosis apparatus further includes: one end of the adapter 205 is connected to one end of the high-speed rotor 204, which is far away from the valve element 202, and the other end of the adapter 205 is connected to the base 203, and the adapter 205 is used for fixing the high-speed rotor 204 on the base 203.
In order to achieve the above object, a second aspect of the present invention provides a high speed rotor kurtosis detection fault diagnosis method, including: collecting operation parameters of a high-speed rotor to be detected in a working state; and judging whether the high-speed rotor to be detected has a fault or not according to the operation parameters.
Optionally, before the step of acquiring the operation parameters of the high-speed rotor to be detected in the working state, the method further includes: acquiring a fault-free vibration signal of the high-speed rotor, and normalizing the fault-free vibration signal to obtain a standard vibration signal; and calculating to obtain a kurtosis value of the high-speed rotor to be detected according to the standard vibration signal and the operation parameters, and judging whether the high-speed rotor has faults or not according to the kurtosis value.
Optionally, the calculating a kurtosis value of the high-speed rotor to be detected according to the standard vibration signal and the operation parameter includes: after the operation parameters are obtained, obtaining a correlation function of the operation parameters according to the operation parameters, and calculating the modular length of the correlation function; acquiring a time point corresponding to the maximum value in the module length according to the module length, wherein the time point is the delay time of a real-time acquired vibration signal corresponding to the standard vibration signal; acquiring the real-time acquisition vibration signal according to the delay time, and calculating the correlation coefficient of the operation parameter and the real-time acquisition vibration signal; and calculating to obtain a mixed signal of a high-speed rotor fault feature extraction signal and noise according to the correlation coefficient, the operation parameters and the real-time collected vibration signal, and calculating to obtain a kurtosis value of the high-speed rotor according to the mixed signal and the standard vibration signal.
Optionally, the kurtosis value of the high-speed rotor is calculated according to the following formula:
wherein y (t) is a mixed signal of a high-speed rotor fault feature extraction signal and noise; s (t) is a standard vibration signal; kys is the kurtosis value of the high speed rotor; e is a mathematical expectation;
when the kurtosis value is larger than a fault preset value, judging that the high-speed rotor has a fault; and when the kurtosis value is smaller than or equal to the fault preset value, the high-speed rotor normally operates.
The invention has at least the following advantages:
the invention detects the vibration signal of the real-time operation of the high-speed rotor in the sealing mechanism through the vibration sensor in the high-speed rotor kurtosis detection fault diagnosis device to obtain the high-speed rotor fault detection kurtosis value, thereby carrying out fault diagnosis on the high-speed rotor through the kurtosis value, further enriching the high-speed rotor fault detection means and improving the long-term operation reliability of products.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
FIG. 1 is a schematic structural diagram of a high speed rotor kurtosis detection fault diagnosis apparatus according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a high speed rotor kurtosis detection fault diagnosis apparatus according to an embodiment of the present invention;
FIG. 3 is a flowchart of a high speed rotor kurtosis detection fault diagnosis method according to an embodiment of the invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
A high-speed rotor kurtosis detection fault diagnosis apparatus and method according to an embodiment of the present invention will be described below with reference to the accompanying drawings.
Fig. 1 is a schematic structural diagram of a high-speed rotor kurtosis detection fault diagnosis apparatus according to an embodiment of the present invention. Referring to fig. 1, the high-speed rotor kurtosis detection failure diagnosis apparatus 10 includes a vibration isolation stage 500; a bracket 300, the bracket 300 being disposed on the vibration isolation table 500; the sealing mechanism 200 is connected with the bracket 300 to form an accommodating space for accommodating the high-speed rotor 204 to be detected; and the vibration sensor 100 is arranged on the sealing mechanism 200 and is connected with a high-speed rotor 204 to be detected. The vibration sensor 100 is configured to acquire an operation parameter of the high-speed rotor 204 to be detected in an operating state, so as to determine whether the high-speed rotor 204 to be detected has a fault according to the operation parameter.
The sealing mechanism 200 in this embodiment is fixed to the vibration isolation table 500 via the bracket 300, and can perform vibration isolation processing on the vibration signal of the high-speed rotor 204.
In an embodiment of the present invention, the high-speed rotor kurtosis detection and fault diagnosis apparatus may further include a determining module, connected to the vibration sensor 100, for calculating a kurtosis value of the high-speed rotor 204 to be detected according to a pre-obtained standard vibration signal and the operation parameter, and determining whether the high-speed rotor 204 has a fault according to the kurtosis value.
Specifically, after the judging module obtains the operation parameter, a correlation function of the operation parameter is obtained according to the operation parameter, a mode length of the correlation function is calculated, and a time point corresponding to a maximum value in the mode length is obtained according to the calculated mode length, wherein the time point is a delay time of a standard vibration signal corresponding to the real-time collected vibration signal, the real-time collected vibration signal is obtained according to the delay time, and a kurtosis value of the high-speed rotor 204 is obtained according to the real-time collected vibration signal and the operation parameter.
As an example, after obtaining the operation parameters, the correlation function i (t) may be further obtained, and the modulo length of the correlation function i (t) may be calculated. For example, the magnitudes of i (T) and T (T) are calculated when T is 0,1,2, … …, and T-1, respectively, the magnitudes of i (T) and T (T) are compared to obtain the maximum value of i (T), and the time point corresponding to the maximum value of i (T) is taken as the delay time τ of the standard vibration signal corresponding to the real-time collected vibration signal. And then acquiring real-time acquisition vibration signals according to the delay time, and calculating according to the real-time acquisition vibration signals and the operation parameters to obtain the kurtosis value of the high-speed rotor.
In an embodiment of the present invention, the calculating, by the determining module, a kurtosis value of the high-speed rotor 204 according to the real-time collected vibration signal and the operation parameter includes: calculating operation parameters and correlation coefficients of real-time collected vibration signals; and calculating to obtain a mixed signal of the high-speed rotor fault feature extraction signal and the noise according to the correlation coefficient, the operation parameters and the real-time collected vibration signal, and calculating to obtain a kurtosis value of the high-speed rotor 204 according to the mixed signal and the standard vibration signal.
Specifically, a mathematical expectation of a product of an operation parameter and a real-time collected vibration signal can be calculated to obtain a correlation coefficient, and then a mixed signal of a high-speed rotor fault feature extraction signal and noise is calculated according to the correlation coefficient, the operation parameter and the real-time collected vibration signal according to a formula Z (t) -cS (t-tau), wherein Z (t) is the operation parameter, c is the correlation coefficient, and S (t-tau) is the real-time collected vibration signal. Then, according to the mixed signal and the standard vibration signal, the following formula is adopted:
and calculating to obtain the kurtosis value of the high-speed rotor. In the formula, y (t) is a mixed signal of a high-speed rotor fault characteristic extraction signal and noise; s (t) is a standard vibration signal; kys is the kurtosis value of the high speed rotor; e is the mathematical expectation.
Further, after the kurtosis value is calculated, the judgment module compares the kurtosis value with a fault preset value. If the kurtosis value obtained by calculation and screening is larger than the fault preset value, the judgment module judges that the high-speed rotor has a fault, otherwise, the judgment module judges that the high-speed rotor normally operates. Preferably, in this embodiment, the preset fault value may be 3.5, but is not limited thereto.
As shown in fig. 2, the sealing mechanism 200 includes a vacuum cap 201, a valve element 202, and a base 203. The valve core 202 is connected with the vacuum cover 201 in a sealing manner through a rubber ring, the valve core 202 penetrates through the vacuum cover 201 and is connected with one end of a shaft system of the high-speed rotor 204, the base 203 is fixed on the support 300, specifically, a first side of the base 203 is connected with the support 300, and a second side opposite to the first side is connected with the vacuum cover 201 in a sealing manner through welding, so that the sealing mechanism 200 is formed, and a vibration signal acquired by the vibration sensor 100 is a signal of the high-speed rotor 204 in actual high-speed operation.
Further, as shown in fig. 2, the vibration sensor 100 is fixedly connected to the sealing mechanism 200 through the valve element 202, wherein the vibration sensor 100 can be directly used to detect the operation parameter of the high-speed rotor 204, so as to detect a fault of the high-speed rotor 204 according to the detected operation parameter, so that the vibration sensor 100 can more sensitively test the vibration signal of the high-speed rotor 204, thereby improving the accuracy of detecting the mechanical fault of the high-speed rotor 204.
Specifically, the vibration sensor 100 may be connected to the valve body 202 by means of adhesion or screw fastening, so that the vibration signal of the high-speed rotor 204 can be effectively transmitted to the vibration sensor 100, preventing attenuation of the signal.
Optionally, the high-speed rotor kurtosis detection fault diagnosis device further comprises a vacuum flapper valve 400, the vacuum flapper valve 400 penetrates through the bracket 300 to be in sealing connection with the base 203 of the sealing mechanism 200, specifically, the vacuum flapper valve 400 is in sealing connection with the base 203 in a mode of combining a screw and a rubber ring, so that the sealing mechanism 200 can be hermetically pumped by the vacuum flapper valve 400, and the high-speed rotor 204 can be operated and tested under actual working conditions. Meanwhile, when the vacuum baffle valve 400 is adopted to carry out sealed air extraction on the sealing mechanism 200, the air extraction speed can be controlled so as to reduce the influence on the lubrication of a high-speed rotor shaft system.
As shown in fig. 2, the high-speed rotor kurtosis detection fault diagnosis apparatus further includes a transit shelf 205. One end of the adapter bracket 205 is connected to one end of the high-speed rotor 204 away from the valve element 202, and the other end is connected to the base 203, and the adapter bracket 205 is used for fixing the high-speed rotor 204 to the base 203.
It should be noted that, the adapter bracket 205 and the valve core 202 in this embodiment can be selected according to different types of high-speed rotors 204, so as to meet the application requirements of the high-speed rotors 204 with different sizes.
According to the high-speed rotor kurtosis detection fault diagnosis device provided by the embodiment of the invention, the vibration sensor in the device can be used for directly detecting the vibration signal of the high-speed rotor in the high-speed rotor sealing mechanism in real-time operation, so that the accuracy of high-speed rotor mechanical fault detection can be improved, and the long-term operation reliability of a product can be improved.
FIG. 3 is a flowchart of a high speed rotor kurtosis detection fault diagnosis method according to an embodiment of the invention. Referring to fig. 3, the fault diagnosis method includes the steps of:
and step S1, collecting the operation parameters of the high-speed rotor to be detected when the high-speed rotor is in the working state.
And step S2, judging whether the high-speed rotor to be detected has faults or not according to the operation parameters.
In an embodiment of the present invention, before the step of acquiring the operation parameters of the high-speed rotor to be detected when the high-speed rotor is in the working state is executed, the method further includes: acquiring a fault-free vibration signal of the high-speed rotor, and carrying out normalization processing on the fault-free vibration signal to obtain a standard vibration signal; and calculating to obtain a kurtosis value of the high-speed rotor to be detected according to the standard vibration signal and the operation parameters, and judging whether the high-speed rotor has faults or not according to the kurtosis value.
Specifically, when the high-speed rotor has no fault, a fault-free vibration signal of the high-speed rotor is acquired through a vibration sensor, and the fault-free vibration signal is normalized to obtain a standard vibration signal in advance.
Further, when the high-speed rotor has mechanical faults or needs fault detection, the operating parameters of the high-speed rotor can be acquired through the vibration sensor. And then calculating the kurtosis value of the high-speed rotor according to the standard vibration signal and the operation parameters.
Specifically, after obtaining the operation parameters, the correlation function i (t) may be further obtained, and the modulo length of the correlation function i (t) may be calculated. For example, the magnitudes of i (T) and T (T) are calculated when T is 0,1,2, … …, and T-1, respectively, the magnitudes of i (T) and T (T) are compared to obtain the maximum value of i (T), and the time point corresponding to the maximum value of i (T) is taken as the delay time τ of the standard vibration signal s (T) corresponding to the real-time collected vibration signal. And then acquiring real-time acquisition vibration signals according to the delay time tau, and calculating according to the real-time acquisition vibration signals and the operation parameters to obtain the kurtosis value of the high-speed rotor.
In one embodiment of the present invention, calculating the kurtosis value of the high-speed rotor according to the real-time collected vibration signal and the operation parameter may include: calculating operation parameters and correlation coefficients of real-time collected vibration signals; and calculating to obtain a mixed signal of the high-speed rotor fault feature extraction signal and the noise according to the correlation coefficient, the operation parameters and the real-time collected vibration signal, and calculating to obtain the kurtosis value of the high-speed rotor according to the mixed signal and the standard vibration signal.
Specifically, a mathematical expectation of a product of an operation parameter and a real-time collected vibration signal can be calculated to obtain a correlation coefficient, and then a mixed signal of a high-speed rotor fault feature extraction signal and noise is calculated according to the correlation coefficient, the operation parameter and the real-time collected vibration signal according to a formula Z (t) -cS (t-tau), wherein Z (t) is the operation parameter, c is the correlation coefficient, and S (t-tau) is the real-time collected vibration signal. And then calculating the kurtosis value of the high-speed rotor according to the formula (1) according to the mixed signal and the standard vibration signal.
Further, after calculating the kurtosis value, the kurtosis value may be compared with a fault preset value. If the kurtosis value obtained by calculation and screening is larger than the fault preset value, the high-speed rotor can be judged to have a fault, otherwise, the high-speed rotor is judged to normally operate. Preferably, in this embodiment, the preset fault value may be 3.5, but is not limited thereto.
According to the high-speed rotor kurtosis detection fault diagnosis method provided by the embodiment of the invention, the kurtosis value of the high-speed rotor is obtained by calculating and screening the acquired standard vibration signal of the high-speed rotor without faults and the operation parameters during actual fault detection, and whether the high-speed rotor has faults or not is judged according to the kurtosis value of the high-speed rotor, so that the high-speed rotor fault detection means can be effectively enriched, and the long-term operation reliability of a product is improved.
It should be noted that the logic and/or steps represented in the flowcharts or otherwise described herein, such as an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; they may be directly connected or indirectly connected through intervening media, or they may be connected internally or in any other suitable relationship, unless expressly stated otherwise. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (10)
1. A high-speed rotor kurtosis detection fault diagnosis apparatus, comprising:
a vibration isolation table (500);
a bracket (300) provided on the vibration isolation table (500);
the sealing mechanism (200) is connected with the bracket (300) to form an accommodating space for accommodating the high-speed rotor (204) to be detected;
the vibration sensor (100) is arranged on the sealing mechanism (200) and is connected with the high-speed rotor (204) to be detected;
the vibration sensor (100) is used for acquiring operation parameters of the high-speed rotor (204) to be detected in a working state, so as to judge whether the high-speed rotor (204) to be detected has faults or not according to the operation parameters.
2. The high-speed rotor kurtosis detection fault diagnostic apparatus of claim 1, further comprising: and the judging module is connected with the vibration sensor (100) and used for calculating a kurtosis value of the high-speed rotor (204) to be detected according to a pre-acquired standard vibration signal and the operation parameter and judging whether the high-speed rotor (204) has a fault or not according to the kurtosis value.
3. The apparatus of claim 2, wherein the determination module calculates the kurtosis value of the high speed rotor (204) according to the following equation:
wherein y (t) is a mixed signal of a high-speed rotor fault feature extraction signal and noise; s (t) is a standard vibration signal; kys is the kurtosis value of the high speed rotor; e is a mathematical expectation;
when the kurtosis value is larger than a fault preset value, the high-speed rotor (204) has a fault, and when the kurtosis value is smaller than or equal to the fault preset value, the high-speed rotor (204) runs normally.
4. The high-speed rotor kurtosis detection fault diagnostic apparatus of claim 1, further comprising: and the vacuum baffle valve (400) is connected with the sealing mechanism (200) through the bracket (300) and is used for carrying out sealing air suction on the sealing mechanism (200) so as to ensure that the high-speed rotor (204) runs and tests under actual working conditions.
5. The high speed rotor kurtosis detection fault diagnostic apparatus of claim 1, wherein the sealing mechanism (200) comprises:
a vacuum enclosure (201);
the valve core (202) penetrates through the vacuum cover (201) and is connected with one end of a shaft system of the high-speed rotor (204) to be detected; and
the base (203) is fixed on the bracket (300), and the base (203) is connected with the vacuum cover (201) in a sealing mode.
6. The high-speed rotor kurtosis detection fault diagnostic apparatus of claim 5, further comprising:
and one end of the adapter frame (205) is connected with one end of the high-speed rotor (204) far away from the valve core (202), the other end of the adapter frame is connected with the base (203), and the adapter frame (205) is used for fixing the high-speed rotor (204) on the base (203).
7. A high speed rotor kurtosis detection fault diagnosis method based on the high speed rotor kurtosis detection fault diagnosis apparatus of any one of claims 1-6, comprising:
collecting operation parameters of a high-speed rotor to be detected in a working state;
and judging whether the high-speed rotor to be detected has a fault or not according to the operation parameters.
8. The method of claim 7, wherein prior to performing the step of collecting operational parameters of the high speed rotor to be detected while in an operational state, further comprising: acquiring a fault-free vibration signal of the high-speed rotor, and normalizing the fault-free vibration signal to obtain a standard vibration signal;
and calculating to obtain a kurtosis value of the high-speed rotor to be detected according to the standard vibration signal and the operation parameters, and judging whether the high-speed rotor has faults or not according to the kurtosis value.
9. The method of claim 8, wherein the calculating a kurtosis value for the high-speed rotor to be detected based on the standard vibration signal and the operational parameter comprises:
after the operation parameters are obtained, obtaining a correlation function of the operation parameters according to the operation parameters, and calculating the modular length of the correlation function;
acquiring a time point corresponding to the maximum value in the module length according to the module length, wherein the time point is the delay time of a real-time acquired vibration signal corresponding to the standard vibration signal;
acquiring the real-time acquisition vibration signal according to the delay time, and calculating the correlation coefficient of the operation parameter and the real-time acquisition vibration signal;
and calculating to obtain a mixed signal of a high-speed rotor fault feature extraction signal and noise according to the correlation coefficient, the operation parameters and the real-time collected vibration signal, and calculating to obtain a kurtosis value of the high-speed rotor according to the mixed signal and the standard vibration signal.
10. The method of claim 9, wherein the kurtosis value of the high speed rotor is calculated as follows:
wherein y (t) is a mixed signal of a high-speed rotor fault feature extraction signal and noise; s (t) is a standard vibration signal; kys is the kurtosis value of the high speed rotor; e is a mathematical expectation;
when the kurtosis value is larger than a fault preset value, judging that the high-speed rotor has a fault; and when the kurtosis value is smaller than or equal to the fault preset value, the high-speed rotor normally operates.
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| CN202111306518.4A CN114216680A (en) | 2021-11-05 | 2021-11-05 | High-speed rotor kurtosis detection fault diagnosis device and method |
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| CN202111306518.4A CN114216680A (en) | 2021-11-05 | 2021-11-05 | High-speed rotor kurtosis detection fault diagnosis device and method |
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