CN114636554A - Electric drive system bearing fault monitoring method and device - Google Patents
Electric drive system bearing fault monitoring method and device Download PDFInfo
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Abstract
The application relates to the field of automobile monitoring, in particular to a method and a device for monitoring a bearing fault of an electric drive system. The method comprises the following steps: enabling the automobile to run according to a preset working condition; collecting a rotating speed signal and an audio signal of an electric drive system when an automobile is in a preset working condition; calculating the three-dimensional corresponding relation between different rotation frequencies and the vibration amplitudes of the audio signals of the electric drive system at different rotation speeds based on the rotation speed signals and the audio signals; determining a three-dimensional envelope spectrum of the three-dimensional corresponding relation based on the three-dimensional corresponding relation; carrying out order slicing on the three-dimensional envelope spectrum, and extracting monitoring order signals of each order in the three-dimensional envelope spectrum; comparing the monitoring order signal of each order with the reference order signal corresponding to each order to determine a comparison result; and judging whether the bearing corresponding to each order is normal or not based on the comparison result. The device is used for realizing the method. The problem of fault order misjudgment caused by low order resolution in the related technology can be solved.
Description
Technical Field
The application relates to the field of automobile monitoring, in particular to a method and a device for monitoring a bearing fault of an electric drive system.
Background
As an important structure in an automobile, an electric drive system of the automobile includes a plurality of bearings in transmission connection, and the bearings are in transmission rotation to drive the automobile to run. For example, the rotation of the electric motor is used for driving the transmission mechanism to rotate, and finally the vehicle runs, so whether each bearing of the electric drive system can normally run or not is related to the power performance and the safety performance of the whole vehicle.
The bearings of the electric drive system have order correspondence, and when subjected to rotational excitation, the bearings of each order rotate at respective rotational frequencies.
The related art generally employs a two-dimensional order analysis method as shown in fig. 1 to analyze whether a bearing corresponding to each order is normal. However, the order resolution of the related art is low, and since the failure frequency of the bearing is mostly non-integer order, and the orders of the plurality of bearings in the electric drive system are relatively close, when the related art is used for distinguishing the failure order, the failure order is difficult to accurately identify because the plurality of adjacent peaks are very close, thereby causing the problem of erroneous judgment of the failure order.
Disclosure of Invention
The application provides a method and a device for monitoring the bearing fault of an electric drive system, which can solve the problem of fault order misjudgment caused by lower order resolution in the related technology.
In order to solve the technical problems in the prior art, a first aspect of the present application provides an electric drive system bearing fault monitoring method, including the following steps:
enabling the automobile to run according to a preset working condition;
collecting a rotating speed signal and an audio signal of an electric drive system when the automobile is under the preset working condition; the rotating speed signals comprise different rotating speeds corresponding to different moments and different rotating frequencies corresponding to different moments;
calculating three-dimensional corresponding relations between different rotation frequencies and vibration amplitudes of the audio signals of the electric drive system at different rotation speeds based on the rotation speed signals and the audio signals;
determining a three-dimensional envelope spectrum of the three-dimensional correspondence based on the three-dimensional correspondence;
performing order slicing on the three-dimensional envelope spectrum, and extracting monitoring order signals of each order in the three-dimensional envelope spectrum;
comparing the monitoring order signal of each order with a reference order signal corresponding to each order to determine a comparison result;
and judging whether the bearing corresponding to each order is normal or not based on the comparison result.
Optionally, the step of calculating a three-dimensional correspondence between different rotation frequencies of the electric drive system and vibration amplitudes of the audio signals at different rotation speeds based on the rotation speed signal and the audio signals comprises the steps of:
extracting the envelope of the audio signal, and acquiring an envelope signal of the audio signal, wherein the envelope signal of the audio signal represents the vibration amplitude of the audio signal;
and enabling the envelope signal to track the order of the rotating speed signal to obtain the three-dimensional corresponding relation between different rotating frequencies and the vibration amplitude of the audio signal of the electric drive system at different rotating speeds.
Optionally, the step of extracting the envelope of the audio signal and obtaining the envelope signal of the audio signal includes the steps of:
and performing Hilbert transform on the audio signal, extracting the envelope of the audio signal subjected to the Hilbert transform, and acquiring the envelope signal of the audio signal.
Optionally, the step of enabling the envelope signal to perform order tracking on the rotation speed signal to obtain a three-dimensional correspondence between different rotation frequencies and vibration amplitudes of the audio signal of the electric drive system at different rotation speeds includes the steps of:
and enabling the envelope signal to track the order of the rotating speed signal to form a time domain corresponding relation between the vibration amplitude of the audio signal and the time of the electric drive system at different rotating speeds, wherein the time domain corresponding relation is the three-dimensional corresponding relation.
Optionally, performing fourier transform on the time domain corresponding relationship between the vibration amplitude and the time of the audio signal of the electric drive system at different rotation speeds to form a frequency domain corresponding relationship between different rotation frequencies and the vibration amplitude of the audio signal of the electric drive system at different rotation speeds; the frequency domain correspondence is the three-dimensional envelope spectrum.
Optionally, after the step of determining whether the bearing corresponding to each order is normal based on the comparison result is ended, the following steps are further performed:
determining a fault bearing in the electric drive system and a fault order corresponding to the fault bearing;
calculating the low-frequency ratio proportion of the fault order;
and determining the fault degree of the fault bearing based on the low-frequency proportion of the fault order.
Optionally, the step of calculating the low frequency proportion of the fault order includes:
taking the fault order as a reference order, and selecting n harmonic frequency orders located behind the fault order; n is greater than 1; the rotating frequency of the fault order is a basic frequency, and the rotating frequency corresponding to each harmonic frequency order is a multiple of the basic frequency;
determining the monitoring order signals corresponding to the fault orders as fundamental frequency signals, and determining the harmonic frequency orders corresponding to the harmonic frequency orders as harmonic frequency signals;
determining a first harmonic frequency signal group, wherein the first harmonic frequency signal group comprises a fundamental frequency signal and a harmonic frequency signal which are sequentially arranged according to the multiple from low to high;
selecting the harmonic frequency signals of the first m orders in the first harmonic frequency signal group as a low-frequency signal group; m is less than n;
and calculating the proportion of the total energy of the low-frequency signal group to the total energy of the first harmonic frequency signal group, and taking the proportion of the total energy of the low-frequency signal group to the total energy of the first harmonic frequency signal group as the low-frequency proportion of the fault order.
Optionally, the step of determining the fault degree of the faulty bearing based on the low-frequency proportion of the fault order includes:
and when the low-frequency ratio of the fault order in the monitoring order signal is greater than a second threshold value, determining that the fault degree of the fault bearing corresponding to the fault order exceeds the early warning range and needs to be replaced or maintained in time.
Optionally, the preset working conditions are various;
enabling the automobile to run according to the preset working condition comprises the following steps:
and enabling the automobile to run according to the preset working conditions in sequence.
Optionally, in the step of acquiring the rotation speed signal and the audio signal of the vehicle under the preset working condition, the electric drive system acquires the audio signal of the vehicle under the preset working condition through a microphone with voice recognition in the vehicle.
Optionally, the step of determining whether the bearing corresponding to each of the orders is normal based on the comparison result includes:
when the comparison result of the monitoring order signal of the first order and the reference order signal is larger than a first threshold value, determining the bearing fault corresponding to the order in the electric drive system;
otherwise the bearing corresponding to said order is normal.
In order to solve the technical problems described in the background, a second aspect of the present application provides an electric drive system bearing fault monitoring device for performing the electric drive system bearing fault monitoring method according to the first aspect of the present application.
The technical scheme at least comprises the following advantages: in the embodiment, the audio signal generated by driving of the electric drive system under the preset working condition is obtained, the three-dimensional corresponding relation between different rotating frequencies of the electric drive system and the vibration amplitude of the audio signal is formed according to the audio signal, so that the three-dimensional envelope spectrum can be determined according to the three-dimensional corresponding relation, the monitoring order signals of each order are obtained by performing order slicing on the three-dimensional envelope spectrum, the fault order can be determined by contrasting with the reference order signal, and the fault bearing corresponding to the fault order can be further independently judged, the order resolution is improved, and the problem of fault order misjudgment caused by lower order resolution is solved.
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In order to more clearly illustrate the detailed description of the present application or the technical solutions in the prior art, the drawings needed to be used in the detailed description of the present application or the prior art description will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 shows a two-dimensional three-dimensional correspondence analysis chart employed in the related art;
FIG. 2 illustrates a flow chart of a method for monitoring a bearing fault of an electric drive system according to an embodiment of the present application;
fig. 3 shows a schematic diagram of the determined three-dimensional envelope spectrum determined in step S14;
FIG. 4 illustrates a flow chart of a method for monitoring a bearing fault of an electric drive system according to another embodiment of the present application;
fig. 5 shows a schematic diagram of step S17 in the embodiment of the present application.
Detailed Description
The technical solutions in the present application will be described clearly and completely with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present application. 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 application.
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 "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present application, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; the connection can be mechanical connection or electrical connection; the two elements may be directly connected or indirectly connected through an intermediate medium, or may be communicated with each other inside the two elements, or may be wirelessly connected or wired connected. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art.
In addition, the technical features mentioned in the different embodiments of the present application described below can be combined with each other as long as they do not conflict with each other.
The electric drive system comprises an electric motor and a transmission mechanism, and the transmission mechanism is driven to rotate by the rotation of the electric motor, so that the vehicle is finally driven to run.
The electric drive system comprises a plurality of bearings in transmission connection, and the bearings have order corresponding relation.
Fig. 2 shows a flowchart of an electric drive system bearing fault monitoring method provided by an embodiment of the present application, and as can be seen from fig. 2, the electric drive system bearing fault monitoring method includes the following steps S11 to S17:
step S11: so that the automobile runs according to the preset working condition.
The preset working condition of the automobile is that the working state of the automobile is set in advance and stored according to the conditions possibly encountered in the running process of the automobile.
The working state of the automobile comprises the motion form, the control form and the load condition of the automobile.
The motion form of the automobile comprises: starting, accelerating, constant speed, decelerating, turning, ascending and descending, parking and the like.
The control form comprises: gear shifting, sliding (gear-off sliding, neutral sliding, accelerating sliding and parking sliding), braking (emergency braking, speed control braking and brake braking), accelerator speed control, steering, reversing and the like.
Load condition: the method comprises the following steps: empty, full (equal to rated load), overloaded (above rated load), etc.
In this embodiment, the preset working condition has a variety, can cover all working conditions in the automobile actual driving process.
When the preset working conditions are various, step S11: enabling the automobile to run according to a preset working condition, wherein the step comprises the following steps; the automobile is enabled to run according to all the preset working conditions in sequence until all the preset working conditions are achieved by running.
Step S12: collecting a rotating speed signal and an audio signal of an electric drive system when the automobile is under the preset working condition; the rotation speed signal comprises different rotation speeds corresponding to different moments and different rotation frequencies corresponding to different moments.
The existing microphone with voice recognition in the automobile can be used for collecting the audio signal of the electric drive system under the preset working condition of the automobile, so that no additional sensor or signal collecting equipment is needed, the signal collection with zero hardware cost is realized, and the collected audio signal is the total audio signal generated by the electric drive system.
In this embodiment, after acquiring that the electric drive system is in the automobile is in the audio signal under the preset operating condition, the noise reduction processing can be performed on the audio signal to filter other noises except the noise generated by the electric drive system.
Step S13: and calculating the three-dimensional corresponding relation between different rotation frequencies and the vibration amplitude of the audio signal of the electric drive system at different rotation speeds based on the rotation speed signal and the audio signal.
For this step S13: calculating the three-dimensional corresponding relationship between different rotation frequencies and the vibration amplitudes of the audio signals of the electric drive system at different rotation speeds based on the rotation speed signals and the audio signals, which can be realized by the following steps S131 to S132, wherein:
step S131: extracting the envelope of the audio signal to obtain an envelope signal of the audio signal; the envelope signal of the audio signal represents a vibration amplitude of the audio signal.
Alternatively, the audio signal may be subjected to hilbert transform, and an envelope of the audio signal subjected to hilbert transform may be extracted to obtain an envelope signal of the audio signal.
Step S132: and enabling the envelope signal to track the order of the rotating speed signal to obtain the three-dimensional corresponding relation between different rotating frequencies and the vibration amplitude of the audio signal of the electric drive system at different rotating speeds.
It should be noted that the envelope signal is a variation signal of the vibration amplitude of the audio signal with time, and the rotation speed signal is a variation signal of the rotation speed of the electric drive system with time, so that the step S132: enabling the envelope signal to perform order tracking on the rotation speed signal, and obtaining a three-dimensional corresponding relation between different rotation frequencies and vibration amplitudes of the audio signal of the electric drive system at different rotation speeds, including the following steps S1321:
step S1321: and carrying out order tracking on the rotating speed signal by the envelope signal to form a time domain corresponding relation between the vibration amplitude of the audio signal and the time of the electric drive system at different rotating speeds, wherein the time domain corresponding relation is the three-dimensional corresponding relation.
It should be noted that the above order tracking technique can extract information related to the rotation speed and the rotation frequency from the envelope signal of the audio signal, and suppress signals unrelated to the rotation speed and the rotation frequency.
After the completion of the above step S13, the following steps are continued:
step S14: and determining a three-dimensional envelope spectrum of the three-dimensional corresponding relation based on the three-dimensional corresponding relation.
This step S14 may determine the three-dimensional envelope spectrum of the three-dimensional correspondence relationship through step S141, this step S141: and performing Fourier transform on the time domain corresponding relation determined in the step S1321 to form a frequency domain corresponding relation between different rotation frequencies and vibration amplitudes of the audio signal of the electric drive system at different rotation speeds. The frequency domain correspondence is the three-dimensional envelope spectrum.
Referring to fig. 3, there is shown a schematic diagram of the determined three-dimensional envelope spectrum determined in step S14. As can be seen from fig. 3, the horizontal axis of the three-dimensional envelope spectrum is the rotation frequency, the vertical axis is the rotation speed, and the color level represents the vibration amplitude of the audio signal, so that the three-dimensional envelope spectrum (color map) can reflect the frequency domain corresponding relationship between the different rotation frequencies and the vibration amplitudes of the audio signal under different rotation speeds of the electric drive system.
In the three-dimensional envelope spectrum shown in fig. 3, the order line is a slant line, for example, a slant line a indicates an order line with an order of 0.40, and a slant line B indicates an order line with an order of 3.62.
That is, the three-dimensional envelope spectrum may represent the correspondence between different rotational frequencies of the electric drive system and the vibration amplitudes of the audio signal at different rotational speeds.
Step S15: and performing order slicing on the three-dimensional envelope spectrum, and extracting monitoring order signals of each order in the three-dimensional envelope spectrum.
The monitoring order signal can reflect an actual response signal (such as an amplitude signal of an audio signal in the embodiment) generated by the bearing corresponding to each order in the electric drive system after being subjected to the rotational excitation.
Step S16: and comparing the monitoring order signal of each order with the reference order signal corresponding to each order to determine a comparison result.
The reference order signal is an ideal response signal which is stored in advance and generated after each order is subjected to rotation excitation.
Step S17: and judging whether the bearing corresponding to each order is normal or not based on the comparison result.
Referring to fig. 5, which shows a schematic diagram of step S17 in the embodiment of the present application, as can be seen from fig. 5, step S17 includes:
and when the comparison result of the monitoring order signal of the first order and the reference order signal is larger than a first threshold value, determining the bearing fault corresponding to the order in the electric drive system. Otherwise the bearing corresponding to said order is normal.
The first threshold is pre-stored and is used for judging the deviation degree between the monitoring order signal of the corresponding order and the reference order signal, namely, whether the monitoring order signal of the corresponding order is matched with the reference order signal or not is judged, when the deviation degree of the monitoring order signal of the first order from the reference order signal is larger than the first threshold, the deviation between the monitoring order signal of the order and the reference order signal is determined to be larger, and the bearing corresponding to the order is determined to be a fault bearing.
Otherwise, determining that the monitoring order signal of the corresponding order is matched with the reference order signal, and the bearing corresponding to the order is normal.
After judging whether the bearings corresponding to the orders are normal or not, determining a fault bearing in the electric drive system and a fault order corresponding to the fault bearing.
In the embodiment, the audio signal generated by driving of the electric drive system under the preset working condition is obtained, the three-dimensional corresponding relation between different rotating frequencies of the electric drive system and the vibration amplitude of the audio signal is formed according to the audio signal, so that the three-dimensional envelope spectrum can be determined according to the three-dimensional corresponding relation, the monitoring order signals of each order are obtained by performing order slicing on the three-dimensional envelope spectrum, the fault order can be determined by contrasting with the reference order signal, and the fault bearing corresponding to the fault order can be further independently judged, the order resolution is improved, and the problem of fault order misjudgment caused by lower order resolution is solved.
To determine the degree of failure of the failed bearing, other embodiments of the present application complete step S17: after the step of determining whether the bearings corresponding to each of the orders are normal based on the comparison result, the following steps S18 to S20 are further performed, referring to fig. 4, which shows a flowchart of a bearing fault monitoring method of the electric drive system provided in other embodiments of the present application, and as can be seen from fig. 4, S18 to S20 respectively include:
step S18: determining a faulty bearing in the electric drive system and a fault order corresponding to the faulty bearing.
Step S19: and calculating the low-frequency ratio proportion of the fault order.
Step S20: and determining the fault degree of the fault bearing based on the low-frequency proportion of the fault order.
The drawback is a gradual progression from small to large over the life of the bearing. When the defect of the bearing is very tiny, the rotation excitation is mostly high-frequency excitation, and when the defect of the bearing develops to a certain extent, the defect of the bearing becomes macroscopic, and the rotation excitation is concentrated in a low-frequency region.
Therefore, the present embodiment determines the fault degree of the faulty bearing by analyzing the frequency distribution of the energy in the monitored order signal. Namely, the fault degree of the fault bearing is determined by calculating the low-frequency ratio proportion of the fault order in the monitoring order signal.
And when the low-frequency ratio of the fault order in the monitoring order signal is greater than a second threshold value, determining that the fault degree of the fault bearing corresponding to the fault order exceeds the early warning range and needs to be replaced or maintained in time. Otherwise, determining that the fault degree of the fault bearing is smaller and needing to continue monitoring.
The second threshold is pre-stored and is used for judging whether the low-frequency ratio proportion of the specific order in the monitoring order signal exceeds the early warning range.
Alternatively, step S19: calculating the low frequency proportion ratio of the fault order may include the following steps S191 to S195, where:
step S191: taking the fault order as a reference order, and selecting n harmonic frequency orders located behind the fault order; n is greater than 1; when the harmonic frequency is corresponding to a specific rotation speed, the rotation frequency of the fault order is a basic frequency, and the rotation frequency corresponding to each harmonic frequency order is a multiple of the basic frequency.
Illustratively, with the fault order as a reference order, 20 harmonic orders located after the fault order are selected from low to high. Any order of the 20 orders is a multiple of the reference order, so that at a specific rotation speed, the rotation frequency corresponding to each harmonic order is a multiple of the rotation frequency corresponding to the fault order.
Step S192: and determining the monitoring order signal corresponding to the fault order as a base frequency signal, and determining the harmonic frequency order corresponding to each harmonic frequency order as a harmonic frequency signal.
So that at a particular rotational speed, the rotational frequency of each of the harmonic signals is a multiple of the rotational frequency of the fundamental frequency signal.
Step S193: and determining a first harmonic frequency signal group, wherein the first harmonic frequency signal group comprises a fundamental frequency signal and a harmonic frequency signal which are sequentially arranged according to the multiple from low to high.
Step S194: selecting the harmonic frequency signals of the first m orders in the first harmonic frequency signal group as a low-frequency signal group; m is less than n.
In step S194, the harmonic signals of the first 5 th order in the first harmonic signal group may be selected from low to high as the low frequency signal group.
Step S195: and calculating the proportion of the total energy of the low-frequency signal group to the total energy of the first harmonic frequency signal group, and taking the proportion of the total energy of the low-frequency signal group to the total energy of the first harmonic frequency signal group as the low-frequency proportion of the fault order.
The embodiment also provides an electric drive system bearing fault monitoring device which is used for executing the electric drive system bearing fault monitoring method.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications of this invention are intended to be covered by the scope of the invention as expressed herein.
Claims (12)
1. An electric drive system bearing fault monitoring method, characterized in that the electric drive system bearing fault monitoring method comprises the following steps:
enabling the automobile to run according to a preset working condition;
collecting a rotating speed signal and an audio signal of an electric drive system when the automobile is under the preset working condition; the rotating speed signals comprise different rotating speeds corresponding to different moments and different rotating frequencies corresponding to different moments;
calculating three-dimensional corresponding relations between different rotation frequencies and vibration amplitudes of the audio signals of the electric drive system at different rotation speeds based on the rotation speed signals and the audio signals;
determining a three-dimensional envelope spectrum of the three-dimensional correspondence based on the three-dimensional correspondence;
performing order slicing on the three-dimensional envelope spectrum, and extracting monitoring order signals of each order in the three-dimensional envelope spectrum;
comparing the monitoring order signal of each order with a reference order signal corresponding to each order to determine a comparison result;
and judging whether the bearing corresponding to each order is normal or not based on the comparison result.
2. The method of claim 1, wherein the step of calculating a three-dimensional correspondence between different rotational frequencies of the electric drive system and vibration amplitudes of the audio signals at different rotational speeds based on the rotational speed signals and the audio signals comprises the steps of:
extracting the envelope of the audio signal, and acquiring an envelope signal of the audio signal, wherein the envelope signal of the audio signal represents the vibration amplitude of the audio signal;
and enabling the envelope signal to track the order of the rotating speed signal to obtain the three-dimensional corresponding relation between different rotating frequencies and the vibration amplitude of the audio signal of the electric drive system at different rotating speeds.
3. The method for monitoring bearing faults of an electric drive system as claimed in claim 2, wherein the step of extracting the envelope of the audio signal and obtaining the envelope signal of the audio signal comprises the steps of:
and performing Hilbert transform on the audio signal, extracting the envelope of the audio signal subjected to the Hilbert transform, and acquiring the envelope signal of the audio signal.
4. The method for monitoring the bearing fault of the electric drive system as recited in claim 2, wherein the step of enabling the envelope signal to track the order of the rotation speed signal to obtain the three-dimensional correspondence between the vibration amplitudes of the audio signal and the different rotation frequencies of the electric drive system at different rotation speeds comprises the steps of:
and performing order tracking on the rotating speed signal by the envelope signal to form a time domain corresponding relation between the vibration amplitude of the audio signal and time of the electric drive system at different rotating speeds, wherein the time domain corresponding relation is the three-dimensional corresponding relation.
5. The method of monitoring a bearing fault of an electric drive system of claim 4 wherein said step of determining a three-dimensional envelope spectrum of said three-dimensional correspondence based on said three-dimensional correspondence comprises:
carrying out Fourier transform on the time domain corresponding relation between the vibration amplitude and the time of the audio signal of the electric drive system at different rotating speeds to form the frequency domain corresponding relation between different rotating frequencies and the vibration amplitude of the audio signal of the electric drive system at different rotating speeds; the frequency domain correspondence is the three-dimensional envelope spectrum.
6. The electric drive system bearing fault monitoring method of claim 1, wherein after the step of determining whether the bearing corresponding to each of the orders is normal based on the comparison result is ended, the following steps are further performed:
determining a fault bearing in the electric drive system and a fault order corresponding to the fault bearing;
calculating the low-frequency ratio proportion of the fault order;
and determining the fault degree of the fault bearing based on the low-frequency proportion of the fault order.
7. The method of monitoring a bearing fault in an electric drive system according to claim 6, wherein said step of calculating a low frequency ratio of said fault order comprises:
taking the fault order as a reference order, and selecting n harmonic frequency orders located behind the fault order; n is greater than 1; the rotating frequency of the fault order is a basic frequency, and the rotating frequency corresponding to each harmonic frequency order is a multiple of the basic frequency;
determining the monitoring order signals corresponding to the fault orders as fundamental frequency signals, and determining the harmonic frequency orders corresponding to the harmonic frequency orders as harmonic frequency signals;
determining a first harmonic frequency signal group, wherein the first harmonic frequency signal group comprises a fundamental frequency signal and a harmonic frequency signal which are sequentially arranged according to the multiple from low to high;
selecting the harmonic frequency signals of the first m orders in the first harmonic frequency signal group as a low-frequency signal group; m is less than n;
and calculating the proportion of the total energy of the low-frequency signal group to the total energy of the first harmonic frequency signal group, and taking the proportion of the total energy of the low-frequency signal group to the total energy of the first harmonic frequency signal group as the low-frequency proportion of the fault order.
8. The method of claim 6, wherein the step of determining the extent of failure of the failed bearing based on the low frequency fraction of the order of failure comprises:
and when the low-frequency ratio of the fault order in the monitoring order signal is greater than a second threshold value, determining that the fault degree of the fault bearing corresponding to the fault order exceeds the early warning range and needs to be replaced or maintained in time.
9. The method of claim 1, wherein the predetermined conditions are a plurality of conditions;
enabling the automobile to run according to the preset working condition comprises the following steps:
and enabling the automobile to run according to the preset working conditions in sequence.
10. The method for monitoring the bearing fault of the electric drive system according to claim 1, wherein the step of acquiring the rotation speed signal and the audio signal of the electric drive system under the preset working condition of the automobile acquires the audio signal of the electric drive system under the preset working condition of the automobile through a microphone with voice recognition in the automobile.
11. The electric drive system bearing fault monitoring method of claim 1 wherein said step of determining whether a bearing corresponding to each of said orders is normal based on said comparison comprises:
when the comparison result of the monitoring order signal of the first order and the reference order signal is larger than a first threshold value, determining the bearing fault corresponding to the order in the electric drive system;
otherwise the bearing corresponding to said order is normal.
12. An electric drive system bearing fault monitoring device, characterized in that the electric drive system bearing fault monitoring device is configured to perform the electric drive system bearing fault monitoring method according to any one of claims 1 to 11.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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