CN117538677A - Magnetic bearing coil fault detection method, device, equipment and medium - Google Patents
Magnetic bearing coil fault detection method, device, equipment and medium Download PDFInfo
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- 230000003595 spectral effect Effects 0.000 claims description 67
- 238000001228 spectrum Methods 0.000 claims description 65
- 238000009432 framing Methods 0.000 claims description 14
- 230000005856 abnormality Effects 0.000 claims description 9
- 238000004590 computer program Methods 0.000 claims description 3
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/48—Thermography; Techniques using wholly visual means
- G01J5/485—Temperature profile
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- G—PHYSICS
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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
- G01M13/04—Bearings
- G01M13/045—Acoustic or vibration analysis
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
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Abstract
The present application relates to the field of fault detection, and in particular, to a method, an apparatus, a device, and a medium for detecting a fault of a magnetic bearing coil, where the method includes: acquiring an actual audio signal of the magnetic bearing within a preset time length; determining whether the actual audio signal in the preset time period is a target audio signal or not based on the actual audio signal in the preset time period and a preset standard audio signal, wherein the target audio signal is an abnormal audio signal; if yes, generating a first audio fingerprint based on an actual audio signal in a preset time period; matching the first audio fingerprint with a preset second audio fingerprint to determine whether the first audio fingerprint is identical to the preset second audio fingerprint, wherein the preset second audio fingerprint is generated based on an audio signal with abnormal work; if yes, determining that the magnetic bearing has coil faults. The method and the device have the effect of accurately judging the faults of the magnetic bearing coil.
Description
Technical Field
The present disclosure relates to the field of fault detection technologies, and in particular, to a method, an apparatus, a device, and a medium for detecting a fault of a magnetic bearing coil.
Background
In the technical field of industry, magnetic bearings are widely used with the advantages of no friction, little wear, no lubrication, and the like. In the working process of the magnetic bearing, the working state of the coil influences the suspension of the rotor, namely, the normal working of the coil can provide suspended electromagnetic force for the rotor, and when the coil breaks down, the rotor cannot suspend normally, so that the detection of the fault of the coil is particularly important.
The related art monitors current waveforms generated by coils in the magnetic bearings in real time, when the current waveforms are monitored to be distorted, faults of the coils are determined, however, when loads of the coils in the magnetic bearings fluctuate, the current waveforms are distorted, at the moment, the magnetic bearings without the faults of the coils are determined to be the magnetic bearings with the faults of the coils, and therefore the related art is poor in accuracy of detecting the faults of the coils of the magnetic bearings.
Thus, how to improve the accuracy of coil fault detection in magnetic bearings is a current challenge.
Disclosure of Invention
In order to improve the accuracy of magnetic bearing coil fault detection, the application provides a magnetic bearing coil fault detection method, a device, equipment and a medium.
In a first aspect, the present application provides a method for detecting faults of a magnetic bearing coil, which adopts the following technical scheme:
a magnetic bearing coil fault detection method comprising:
acquiring an actual audio signal of the magnetic bearing within a preset time length;
determining whether the actual audio signal is a target audio signal or not based on the actual audio signal and a preset standard audio signal, wherein the target audio signal is a working audio signal with abnormality;
if yes, generating a first audio fingerprint based on the actual audio signal;
matching the first audio fingerprint with a preset second audio fingerprint to determine whether the first audio fingerprint is identical to the preset second audio fingerprint or not, wherein the preset second audio fingerprint is generated based on an audio signal with abnormal work;
if yes, determining that the magnetic bearing has coil faults.
The present application may be further configured in a preferred example, the generating a first audio fingerprint based on the actual audio signal, including:
dividing the actual audio signals into a first preset number of actual word audio signals;
for each actual sub-audio signal, acquiring a second preset number of target spectrum magnitudes in the actual sub-audio signal and time information corresponding to the target spectrum magnitudes;
And generating the first audio fingerprint based on the target frequency spectrum amplitude corresponding to all the actual sub-audio signals and the time information corresponding to the target frequency spectrum amplitude.
In a preferred example, the method may further be configured to generate the first audio fingerprint based on the target spectral magnitudes corresponding to all the actual sub-audio signals and the time information corresponding to the target spectral magnitudes, including:
determining an average target spectral amplitude for each actual sub-audio signal based on all of the target spectral amplitudes and quantity information of the target spectral amplitudes;
determining a target actual sub-audio signal corresponding to the maximum average target spectral amplitude based on the average target spectral amplitude corresponding to each of the actual sub-audio signals;
calculating, for a target actual sub-audio signal, a time difference value corresponding to two adjacent target spectrum amplitudes based on time information corresponding to the target spectrum amplitudes;
the first audio fingerprint is generated based on all of the target spectral magnitudes and all of the time differences in the target actual sub-audio signal.
The present application may be further configured in a preferred example, before determining whether the actual audio signal is the target audio signal based on the actual audio signal and the preset standard audio signal, the method further includes:
Framing the actual audio signal to obtain a first frame signal, and framing the preset standard audio signal to obtain a second frame signal;
matching and aligning the actual audio signal with the preset standard audio signal based on the first frame signal and the second frame signal;
correspondingly, the determining whether the actual audio signal is the target audio signal based on the actual audio signal and the preset standard audio signal includes:
and determining whether the actual audio signal is a target audio signal or not based on the matched and aligned actual audio signal and a preset standard audio signal.
The present application may be further configured in a preferred example, after the determining that the magnetic bearing has a coil failure, further including:
acquiring the current ambient temperature and an infrared image of the magnetic bearing;
determining a standard working temperature range corresponding to the current environment temperature based on a target corresponding relation and the current environment temperature, wherein the target corresponding relation is the corresponding relation between the environment temperature and the standard working temperature range;
acquiring the temperature distribution information of the magnetic bearing from the infrared image;
and determining a target coil based on the temperature distribution information and the standard working temperature range, wherein the target coil is a coil with faults.
In a second aspect, the present application provides a magnetic bearing coil fault detection device, which adopts the following technical scheme:
a magnetic bearing coil fault detection apparatus comprising:
the acquisition module is used for acquiring an actual audio signal of the magnetic bearing within a preset time length;
the target working audio signal determining module is used for determining whether the actual audio signal is a target audio signal or not based on the actual audio signal and a preset standard audio signal, and the target audio signal is a working audio signal with abnormality; if yes, triggering a first audio fingerprint generation module;
a first audio fingerprint generation module for generating a first audio fingerprint based on the actual audio signal;
the audio fingerprint judging module is used for matching the first audio fingerprint with a preset second audio fingerprint to determine whether the first audio fingerprint is identical to the preset second audio fingerprint or not, and the preset second audio fingerprint is generated based on an audio signal with abnormal work; if yes, triggering a fault determining module;
and the fault determining module is used for determining that the magnetic bearing has coil faults.
The present application may be further configured in a preferred example, when the first audio fingerprint generation module performs the generation of the first audio fingerprint based on the actual audio signal, for:
Dividing the actual audio signals into a first preset number of actual word audio signals;
for each actual sub-audio signal, acquiring a second preset number of target spectrum magnitudes in the actual sub-audio signal and time information corresponding to the target spectrum magnitudes;
and generating the first audio fingerprint based on the target frequency spectrum amplitude corresponding to all the actual sub-audio signals and the time information corresponding to the target frequency spectrum amplitude.
In a preferred example, the first audio fingerprint generating module may be further configured, when executing the generation of the first audio fingerprint based on the target spectral magnitudes corresponding to all the actual sub-audio signals and the time information corresponding to the target spectral magnitudes, to:
determining an average target spectral amplitude for each actual sub-audio signal based on all of the target spectral amplitudes and quantity information of the target spectral amplitudes;
determining a target actual sub-audio signal corresponding to the maximum average target spectral amplitude based on the average target spectral amplitude corresponding to each of the actual sub-audio signals;
calculating, for a target actual sub-audio signal, a time difference value corresponding to two adjacent target spectrum amplitudes based on time information corresponding to the target spectrum amplitudes;
The first audio fingerprint is generated based on all of the target spectral magnitudes and all of the time differences in the target actual sub-audio signal.
In a third aspect, the present application provides an electronic device, which adopts the following technical scheme:
at least one processor;
a memory;
at least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: a magnetic bearing coil fault detection method as claimed in any one of the first aspects is performed.
In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:
a computer readable storage medium having stored thereon a computer program which, when executed in a computer, causes the computer to perform a magnetic bearing coil fault detection method according to any of the first aspects.
In summary, the present application includes the following beneficial technical effects:
acquiring an actual audio signal of the magnetic bearing within a preset time length to avoid the accidental occurrence of the actual audio signal of the magnetic bearing with a too short time length, and accurately judging the abnormal audio signal by reducing the interference of the accidental on the target audio signal; determining whether the abnormal working audio signal exists or not according to the actual audio signal and the preset standard audio signal; if the abnormality is determined to exist, generating a first audio fingerprint according to the target audio signal, wherein each audio fingerprint corresponds to a unique audio signal, so that whether the first audio fingerprint is identical with a preset second audio fingerprint or not is judged, multi-dimensional judgment of an actual audio signal is realized, and the judgment accuracy is effectively improved; when the two magnetic bearings are identical, determining that the magnetic bearings have coil faults; compared with the prior art, the method and the device for determining the coil faults of the magnetic bearing have the advantages that the judgment is carried out according to the current signals, the audio signals are judged twice, the purpose of determining the coil faults of the magnetic bearing is achieved based on the audio signals after double judgment, the technical effect of accurately determining the coil faults of the magnetic bearing is achieved, and the problem that the accuracy of determining the coil faults of the magnetic bearing is low in the prior art is solved.
Drawings
Fig. 1 is a schematic diagram of an interaction scenario for fault detection of a magnetic bearing coil according to an embodiment of the present application.
Fig. 2 is a schematic flow chart of a fault detection method for a magnetic bearing coil according to an embodiment of the present application.
Fig. 3 is a schematic structural diagram of a magnetic bearing coil fault detection device according to an embodiment of the present application.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to fig. 1-4.
The present embodiment is merely illustrative of the present application and is not intended to be limiting, and those skilled in the art, after having read the present specification, may make modifications to the present embodiment without creative contribution as required, but is protected by patent laws within the scope of the present application.
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application are clearly and completely described, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In this context, unless otherwise specified, the term "/" generally indicates that the associated object is an "or" relationship.
As shown in fig. 1, in an interaction scene diagram for detecting faults of a magnetic bearing coil provided in an embodiment of the present application, an audio acquisition device acquires an actual audio signal when the magnetic bearing coil works, and transmits the actual audio signal to an electronic device, and the electronic device analyzes and processes the actual audio signal to realize accurate detection of faults of the magnetic bearing coil.
Embodiments of the present application are described in further detail below with reference to the drawings attached hereto.
The embodiment of the application provides a magnetic bearing coil fault method, which is executed by electronic equipment, wherein the electronic equipment can be a server or terminal equipment, and the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server for providing cloud computing service. The terminal device may be a smart phone, a tablet computer, a notebook computer, a desktop computer, or the like, but is not limited thereto, and the terminal device and the server may be directly or indirectly connected through a wired or wireless communication manner, which is not limited herein, and as shown in fig. 2, the method includes steps S101, S102, S103, S104, and S105, where: step S101: and acquiring an actual audio signal of the magnetic bearing within a preset time length.
Specifically, after receiving the fault detection request, an actual audio signal may be acquired, and a monitoring program is integrated in the electronic device in advance, where the monitoring program is configured to monitor a triggering behavior of the detection request, and acquire the actual audio signal of the magnetic bearing once the detection request is monitored to be triggered. Specifically, after the user determines the detection, a detection instruction is automatically generated, wherein the method for confirming the detection may include the method for confirming the detection by clicking a detection button or voice on an application program by the user, and after the electronic device detects that the user triggers a detection request, the electronic device acquires an actual audio signal of the magnetic bearing. In the embodiment of the application, the magnetic bearing can be a suspension magnetic bearing in a subway or a high-speed train. It can be understood that the actual audio signal can be acquired by the audio acquisition device and transmitted to the electronic device, and the installation position of the audio acquisition device is not limited in the embodiment of the application, so that the user can set the device by himself. The preset duration may be obtained by a related technician according to a plurality of historical data, and specifically includes: acquiring historical fault information corresponding to each of a plurality of fault magnetic bearing coils, wherein the historical fault information comprises: the method comprises the steps of selecting a history time corresponding to the highest occurrence frequency from a plurality of history time, taking the history time corresponding to the highest occurrence frequency as a preset time, and indicating that the magnetic bearing coil fault probability is maximum when the preset time is the history time corresponding to the highest occurrence frequency, so that the accuracy of actual audio signal acquisition can be effectively improved. It can be appreciated that, based on the fact that when the magnetic bearing coil has a short-circuit fault, an abnormality occurs in an actual audio signal of the magnetic bearing, so that the embodiment of the application detects the short-circuit fault of the magnetic bearing coil.
Step S102: based on the actual audio signal and a preset standard audio signal, determining whether the actual audio signal is a target audio signal, wherein the target audio signal is a working audio signal with abnormality.
Specifically, the preset standard audio signal is an audio signal which is input in advance by a relevant technician and stored in the electronic equipment, and the preset standard audio signal is an audio signal when the magnetic bearing coil has no fault. Wherein waveforms of the actual audio signal and the preset standard audio signal may be compared to determine whether the waveforms are identical. Further, if yes, step S103 is executed to perform a second judgment on the magnetic bearing coil, and the accuracy of determining the fault detection of the magnetic bearing coil is improved through double judgment; if not, the actual audio signal is the same as the preset standard audio signal, namely the magnetic bearing coil has no fault.
Step S103: if so, a first audio fingerprint is generated based on the actual audio signal.
Specifically, the first audio fingerprint may be generated according to the spectral amplitude of the actual audio signal and the time corresponding to the spectral amplitude, and for a specific implementation, reference may be made to the following embodiments; it can be understood that the audio fingerprint is a set of compact and unique feature codes, similar to human fingerprint, and by extracting the spectrum amplitude and the time corresponding to the spectrum amplitude and encoding, the audio fingerprint can generate the code uniquely corresponding to the audio signal, and then detecting based on the code uniquely corresponding to the audio signal, so that the accuracy of detecting the magnetic bearing coil faults is effectively improved.
Step S104: and matching the first audio fingerprint with a preset second audio fingerprint to determine whether the first audio fingerprint is identical to the preset second audio fingerprint, wherein the preset second audio fingerprint is generated based on the audio signal with abnormal work.
Specifically, the preset second audio fingerprints may be obtained by a related technician in advance, and in this embodiment of the present application, the preset second audio fingerprints may be plural, and it may be understood that when the magnetic bearing coil fails, corresponding audio signals may be different due to different failure degrees, so that there is a certain difference between the preset second audio fingerprints generated based on the audio signals with abnormal operations. Further, the first audio fingerprint and the plurality of preset second audio fingerprints can be matched one by one to determine whether the preset second audio fingerprint identical to the first audio fingerprint exists or not; if so, step S105 is performed, indicating that there is a fault in the magnetic bearing coil.
Step S105: if yes, determining that the magnetic bearing has coil faults.
Specifically, the electronic device determines that the magnetic bearing coil has a fault; further, the electronic device can send a reminding signal to related technicians in a wireless communication mode or a wired communication mode so as to inform the related technicians that the magnetic bearing coil has faults, and maintenance treatment needs to be performed in time so as to avoid serious damage to the device caused by the existence of the fault magnetic bearing coil.
Further, if not, the actual audio signal of the magnetic bearing is collected again, and detection is performed on the actual audio signal again for a third preset number of times until it is determined that the magnetic bearing coil has a fault or the detection number reaches the third preset number of times, wherein the third preset number can be input into the electronic device in advance by a related technician based on working experience, and the embodiment of the application is not limited. When the two detection results are inconsistent, the detection of the third preset number of times is performed again, so that the detection accuracy can be effectively improved compared with the detection performed only once.
In the embodiment of the application, the actual audio signal of the magnetic bearing within the preset time length is obtained, so that the accidental occurrence of the actual audio signal of the magnetic bearing with the too short time length is avoided, and the accurate judgment of the abnormal audio signal is realized by reducing the interference of the accidental on the target audio signal; determining whether the abnormal working audio signal exists or not according to the actual audio signal and the preset standard audio signal; if the abnormality is determined to exist, generating a first audio fingerprint according to the target audio signal, wherein each audio fingerprint corresponds to a unique audio signal, so that whether the first audio fingerprint is identical with a preset second audio fingerprint or not is judged, multi-dimensional judgment of an actual audio signal is realized, and the judgment accuracy is effectively improved; when the two magnetic bearings are identical, determining that the magnetic bearings have coil faults; compared with the prior art, the method and the device for determining the coil faults of the magnetic bearing have the advantages that the judgment is carried out according to the current signals, the audio signals are judged twice, the purpose of determining the coil faults of the magnetic bearing is achieved based on the audio signals after double judgment, the technical effect of accurately determining the coil faults of the magnetic bearing is achieved, and the problem that the accuracy of determining the coil faults of the magnetic bearing is low in the prior art is solved.
In one possible implementation manner of the embodiment of the present application, step S103 may specifically include:
dividing the actual audio signal into a first preset number of actual sub audio signals;
for each actual sub-audio signal, acquiring a second preset number of target spectrum magnitudes in the actual sub-audio signal and time information corresponding to the target spectrum magnitudes;
and generating a first audio fingerprint based on all the target spectrum magnitudes corresponding to all the actual sub-audio signals and time information corresponding to the target spectrum magnitudes.
Specifically, the first preset number is set by a related technician according to working experience and is stored in the electronic equipment in advance; the actual audio signal may then be divided into a plurality of audio segments, i.e. actual sub-audio signals. It will be appreciated that the number of audio sample references may be increased by dividing the actual audio signal into actual sub-audio signals, and that an accurate determination of magnetic bearing coil faults from the audio signal dimension may be achieved by increasing the number of audio sample references to reference more samples. The actual sub-audio signals are divided into the first preset number, so that the problem of judging efficiency reduction caused by accidental caused by too small dividing number or too large calculated amount caused by too large dividing number can be avoided.
It can be understood that each actual sub-audio signal corresponds to a sound waveform in which a plurality of spectral magnitudes exist; the second preset number is stored in the electronic device by the related technician in advance, and the determining process of the second preset number is the same as that of the first preset number, which is not repeated in the embodiment of the present application. And identifying the actual sub-audio signals, and sequentially screening out a second preset number of target spectrum amplitude values according to the sequence from high to low of the spectrum amplitude values. It will be appreciated that the actual audio signal needs to be processed, including preprocessing, framing, fourier transform and spectral calculation, before the spectral amplitude of the actual working audio signal is obtained. The pretreatment method at least comprises the following steps: noise reduction, equalization, etc.; dividing an actual audio signal into a plurality of fragments, and windowing by using a window function with a preset length; and performing Fourier transform on the windowed audio signal, converting the time domain signal into a frequency domain signal, and calculating an amplitude value on each frequency point to obtain a frequency spectrum amplitude value. The embodiment of the application does not limit noise reduction, equalization and preset length, a user can set the device by himself, and the preferred window function of the application can be a Hamming window so as to effectively reduce the occurrence probability of the frequency spectrum leakage problem.
Further, the segmented actual sub-audio signals are time aligned, namely, the starting time and the ending time of each segmented actual sub-audio signal are determined, the sampling rate of the actual sub-audio signals and the length of each segmented actual sub-audio signal are obtained, so that the time interval corresponding to each segmented actual sub-audio signal is calculated, the time interval is then corresponding to the frequency spectrum amplitude, and the time point corresponding to the target frequency spectrum amplitude, namely, the time information corresponding to the target frequency spectrum amplitude is obtained. The specific manner of generating the first audio fingerprint according to the target spectral amplitude and the corresponding time information may be referred to the following embodiments; it can be understood that the target spectral amplitude represents the characteristic information of the actual audio signal in frequency, and the corresponding time of the target spectral amplitude represents the characteristic distribution characteristic of the characteristic in frequency of the actual audio signal in time, so that the first audio fingerprint generated based on the target spectral amplitude and the corresponding time information can represent the actual sub-audio signal more accurately, and the accuracy of determining the actual sub-audio signal can be improved effectively.
In the embodiment of the application, the actual audio signals are divided into the actual sub audio signals with the first preset number, so that the sample reference number can be effectively increased, and the judgment accuracy is effectively improved; and then, aiming at each actual sub-audio signal, acquiring a second preset number of target frequency spectrum amplitude values and time information corresponding to the target frequency spectrum amplitude values in the actual sub-audio signals, wherein the target frequency spectrum amplitude values represent the distribution characteristics of the actual sub-working audio signals on a frequency domain, and the corresponding time information represents the distribution characteristics of the frequency domain characteristics of the actual sub-audio signals in time, so that the first audio fingerprint generated according to all the target frequency spectrum amplitude values and the time information corresponding to the target frequency spectrum amplitude values accurately expresses the characteristics of the actual sub-audio signals, and correspondingly and effectively improves the accuracy of determining the first audio fingerprint.
In one possible implementation manner of the embodiment of the present application, step S103 generates a first audio fingerprint based on the target spectral magnitudes corresponding to all the actual sub-audio signals and the time information corresponding to the target spectral magnitudes, including:
for each actual sub-audio signal, determining an average target spectral amplitude based on all target spectral amplitudes and quantity information of the target spectral amplitudes;
determining a target actual sub-audio signal corresponding to the maximum average target spectral amplitude based on the average target spectral amplitude corresponding to each of all the actual sub-audio signals;
for each target actual sub-audio signal, calculating to obtain a time difference value corresponding to two adjacent target frequency spectrum amplitude values based on time information corresponding to the target frequency spectrum amplitude values;
a first audio fingerprint is generated based on all target spectral magnitudes and all time differences in the target actual sub-audio signal.
Specifically, the average target spectral amplitude may be determined according to a calculation formula: wherein M is 1 Representing a first target spectral amplitude, M 2 Representing a second target spectral amplitude, M n Represents the nth target spectral amplitude, n being a number of pieces of information. It will be appreciated that the average target spectral magnitudes may characterize the general characteristics of all target spectral magnitudes in each actual sub-audio signal; sequentially arranging all the average target frequency spectrum amplitudes according to descending order, and selecting the average target frequency spectrum amplitude with the arrangement order of the first bit, namely the maximum average target frequency spectrum amplitude, so as to obtain a target actual sub-audio signal corresponding to the maximum average frequency spectrum amplitude; calculating a time difference value of two adjacent target frequency spectrum amplitudes according to a calculation formula, wherein the calculation formula is as follows: delta T 1 ＝T 1 -T 2 ，T 1 Representing time information corresponding to the first target spectrum amplitude, T 2 Representing the time information corresponding to the second target frequency spectrum amplitude, and further obtaining T 1 And T 2 Time difference between them.
Further, all the target spectrum magnitudes and all the time differences may be encoded, and the encoded all the target spectrum magnitudes and all the time differences may be arranged at one time to obtain the first audio fingerprint. It can be understood that when the average target spectral amplitude in a certain actual sub-audio signal is larger, it indicates that all the target spectral amplitudes in the actual sub-audio signal are larger, and the target actual sub-audio signal corresponding to the selected maximum average target audio signal can more highlight the main features of the actual audio signal of the magnetic bearing coil, different audio signals have different maximum spectral amplitudes, and generating the first audio fingerprint with only a single spectral amplitude may lead to erroneous judgment, and at this time, corresponding time information is introduced to ensure that the accurate first audio fingerprint can be generated.
In the embodiment of the application, the average target frequency spectrum amplitude corresponding to each of all the actual sub-audio signals is determined, the target actual sub-audio signal corresponding to the maximum average target frequency spectrum amplitude is selected from the average target frequency spectrum amplitudes, and the actual sub-audio signal corresponding to the maximum average target frequency spectrum amplitude can better highlight the main characteristics of the actual working audio signal; the different audio signals have different maximum audio amplitudes, and the audio fingerprint generated based on the maximum audio amplitude may have a certain inaccuracy, so that the time difference of the target frequency spectrum amplitude is introduced again, and the first audio fingerprint is generated according to the time difference and all the target frequency spectrum amplitudes in the target actual sub-audio signals, so that the first audio fingerprint is generated from two different dimensions, and the accuracy of the first audio fingerprint generation is effectively improved.
In one possible implementation manner of the embodiment of the present application, step S102 determines whether the actual audio signal is a target audio signal based on the actual audio signal and a preset standard audio signal, which may specifically include:
framing the actual audio signal to obtain a first frame signal, and framing a preset standard audio signal to obtain a second frame signal;
matching and aligning the actual audio signal with a preset standard audio signal based on the first frame signal and the second frame signal;
accordingly, determining whether the actual audio signal is the target audio signal based on the actual audio signal and the preset standard audio signal includes:
and determining whether the actual audio signal is a target audio signal or not based on the matched and aligned actual audio signal and a preset standard audio signal.
Specifically, a continuous framing method or an overlapping segmentation method may be used for framing, in this embodiment, preferably, an overlapping segmentation method is used for framing, and by selecting an overlapping segmentation method for framing, smooth transition between each frame signal and each frame signal may be further made, so as to ensure continuity of an audio signal, where in this embodiment of the present application, a specific framing process of the overlapping segmentation method is not limited, and a user may set the method by himself. Further, a time stamp corresponding to each frame signal is obtained, matching and alignment are carried out according to the time stamp corresponding to each frame signal, and then judgment is carried out according to the actual audio signal and the preset standard audio signal after matching and alignment.
In the embodiment of the application, the actual audio signal and the preset standard audio signal are framed, and matched and aligned according to the first frame signal and the second frame signal which are respectively corresponding to each other, so that the problem that the positions of the audio signals are disordered due to unmatched and aligned to generate judgment errors is avoided, and then the actual audio signal and the standard audio signal which are matched and aligned are compared to obtain a more accurate judgment result.
In one possible implementation manner of the embodiment of the present application, after determining that the magnetic bearing has a coil fault in step S105, the method further includes:
acquiring an infrared image of the current ambient temperature and the magnetic bearing;
determining a standard working temperature range corresponding to the current environment temperature based on a target corresponding relation and the current environment temperature, wherein the target corresponding relation is the corresponding relation between the environment temperature and the standard working temperature range;
acquiring temperature distribution information of a magnetic bearing from an infrared image;
and determining a target coil based on the temperature distribution information and the standard working temperature range, wherein the target coil is a coil with faults.
Specifically, the current ambient temperature may be detected by a temperature sensor, it may be understood that, to obtain a more accurate current ambient temperature, a plurality of temperature sensors may be disposed around the device where the magnetic bearing is located, that is, a ring formed by taking the device where the magnetic bearing is located as a center and taking a preset distance as a radius is provided with the temperature sensors, an average temperature is calculated based on the temperatures detected by all the temperature sensors and the number of the temperature sensors, and the average temperature is taken as the current ambient temperature; the infrared image of magnetic bearing can be for infrared acquisition equipment gathers, and this application embodiment does not prescribe a limit to above-mentioned default distance and infrared acquisition equipment's mounted position, and the user can set up by oneself. The target corresponding relation can be set by a relevant technician based on a plurality of historical data and is input into the electronic equipment in advance, the standard working temperature range is a temperature range corresponding to the magnetic bearing coil in a normal working state, and it can be understood that in the embodiment of the application, the temperature values corresponding to the current environment temperature and the standard working temperature range are values of the last digit of the reserved decimal point. The standard operating temperature range determination process may specifically include: and acquiring the corresponding historical temperatures of the magnetic bearing coils in the normal working state, wherein one or more of the historical temperatures are obtained, and further, a temperature range set consisting of the minimum historical temperature and the maximum historical temperature can be selected as the standard working temperature range. The embodiment of the application does not limit the specific determining process of the target corresponding relation, and the user can set the target corresponding relation by himself.
The temperature distribution information can be a temperature range corresponding to a region corresponding to each coil of the magnetic bearing; for example, when six coils exist in the magnetic bearing, the corresponding angle of each coil is 60 degrees according to the position of each coil, the temperature range is the corresponding temperature range in a 60-degree fan, the corresponding coil generates more heat when the magnetic bearing coil has a short circuit fault than the coil without the fault, and further, the corresponding infrared image part has darker color when the magnetic bearing coil has the fault. And selecting a first maximum temperature from the temperature distribution information, selecting a second maximum temperature from the standard working temperature range, judging whether the first maximum temperature is not greater than the second maximum temperature, if so, indicating that the magnetic bearing coil is not a fault coil, otherwise, indicating that the magnetic bearing coil has a fault and causing abnormal heating of a corresponding area, and further determining that the target coil is the coil with the fault.
In the embodiment of the application, acquiring an infrared image of the current environment temperature and the magnetic bearing, and determining a standard working temperature range according to the target corresponding relation and the current environment temperature so as to determine the due working temperature of the magnetic bearing coil at the current environment temperature; and acquiring temperature distribution information of the magnetic bearing from the infrared image, and when the temperature of the magnetic bearing coil is not in the standard working temperature range, indicating that the magnetic bearing coil has faults, wherein the temperature generated in the working process is not in the normal working temperature range, so that the fault coil can be accurately determined.
The foregoing embodiments describe a method for detecting faults of a magnetic bearing coil from the viewpoint of a method flow, and the following embodiments describe a device for detecting faults of a magnetic bearing coil from the viewpoint of a virtual module or a virtual unit, specifically the following embodiments are described below.
The embodiment of the application provides a magnetic bearing coil fault detection device, as shown in fig. 3, the magnetic bearing coil fault detection device specifically may include:
an acquisition module 201, configured to acquire an actual audio signal within a preset time period of the magnetic bearing;
a target working audio signal determining module 202, configured to determine whether the actual audio signal is a target audio signal, based on the actual audio signal and a preset standard audio signal, where the target audio signal is a working audio signal with an anomaly; if yes, triggering the first audio fingerprint generation module 203;
a first audio fingerprint generation module 203 for generating a first audio fingerprint based on the actual audio signal;
the audio fingerprint judgment module 204 is configured to match a first audio fingerprint with a preset second audio fingerprint to determine whether the first audio fingerprint is identical to the preset second audio fingerprint, where the preset second audio fingerprint is generated based on an audio signal with abnormal operation; if yes, triggering a fault determination module 205;
The fault determination module 205 is configured to determine that a coil fault exists in the magnetic bearing.
In one possible implementation manner of the embodiment of the present application, the first audio fingerprint generation module 203 is configured, when executing the generation of the first audio fingerprint based on the actual audio signal, to:
dividing the actual audio signal into a first preset number of actual word audio signals;
for each actual sub-audio signal, acquiring a second preset number of target spectrum magnitudes in the actual sub-audio signal and time information corresponding to the target spectrum magnitudes;
and generating a first audio fingerprint based on the target frequency spectrum amplitude corresponding to all the actual sub-audio signals and the time information corresponding to the target frequency spectrum amplitude.
In one possible implementation manner of the embodiment of the present application, when the first audio fingerprint generating module performs the generation of the first audio fingerprint based on the target spectral magnitudes corresponding to all the actual sub-audio signals and the time information corresponding to the target spectral magnitudes, the first audio fingerprint generating module is configured to:
for each actual sub-audio signal, determining an average target spectral amplitude based on all target spectral amplitudes and quantity information of the target spectral amplitudes;
determining a target actual sub-audio signal corresponding to the maximum average target spectral amplitude based on the average target spectral amplitude corresponding to each of all the actual sub-audio signals;
Calculating to obtain a time difference value corresponding to two adjacent target frequency spectrum amplitude values based on time information corresponding to the target frequency spectrum amplitude values aiming at the target actual sub-audio signals;
a first audio fingerprint is generated based on all target spectral magnitudes and all time differences in the target actual sub-audio signal.
In one possible implementation manner of the embodiment of the present application, the magnetic bearing coil fault detection device further includes:
an alignment module for:
framing the actual audio signal to obtain a first frame signal, and framing a preset standard audio signal to obtain a second frame signal;
matching and aligning the actual audio signal with a preset standard audio signal based on the first frame signal and the second frame signal;
accordingly, the target working audio signal determining module 202 is configured to, when executing the determination of whether the actual audio signal is the target audio signal based on the actual audio signal and the preset standard audio signal:
and determining whether the actual audio signal is a target audio signal or not based on the matched and aligned actual audio signal and a preset standard audio signal.
In one possible implementation manner of the embodiment of the present application, the magnetic bearing coil fault detection device further includes:
A target coil determination module for:
acquiring an infrared image of the current ambient temperature and the magnetic bearing;
determining a standard working temperature range corresponding to the current environment temperature based on a target corresponding relation and the current environment temperature, wherein the target corresponding relation is the corresponding relation between the environment temperature and the standard working temperature range;
acquiring temperature distribution information of a magnetic bearing from an infrared image;
and determining a target coil based on the temperature distribution information and the standard working temperature range, wherein the target coil is a coil with faults.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the magnetic bearing coil fault detection device described above may refer to the corresponding process in the foregoing method embodiment, and will not be described herein again.
In an embodiment of the present application, as shown in fig. 4, an electronic device shown in fig. 4 includes: a processor 301 and a memory 303. Wherein the processor 301 is coupled to the memory 303, such as via a bus 302. Optionally, the electronic device may also include a transceiver 304. It should be noted that, in practical applications, the transceiver 304 is not limited to one, and the structure of the electronic device is not limited to the embodiments of the present application.
The processor 301 may be a CPU (Central Processing Unit ), general purpose processor, DSP (Digital Signal Processor, data signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic device, transistor logic device, hardware components, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules, and circuits described in connection with this disclosure. Processor 301 may also be a combination that implements computing functionality, e.g., comprising one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.
Bus 302 may include a path to transfer information between the components. Bus 302 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect Standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. Bus 302 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 4, but not only one bus or type of bus.
The Memory 303 may be, but is not limited to, a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory ), a CD-ROM (Compact Disc Read Only Memory, compact disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
The memory 303 is used for storing application program codes for executing the present application and is controlled to be executed by the processor 301. The processor 301 is configured to execute the application code stored in the memory 303 to implement what is shown in the foregoing method embodiments.
Among them, electronic devices include, but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. But may also be a server or the like. The electronic device shown in fig. 4 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments herein.
The present application provides a computer readable storage medium having a computer program stored thereon, which when run on a computer, causes the computer to perform the corresponding method embodiments described above. In the embodiment of the application, the actual audio signal of the magnetic bearing in the preset time length is obtained to avoid the accidental occurrence of the too short time length, whether the abnormal working audio signal exists or not is determined according to the actual audio signal in the preset time length and the preset standard audio signal, and the accurate judgment of the abnormal audio signal is realized by reducing the interference of the accidental to the target audio signal; if it is determined that the abnormality exists, then a first audio fingerprint is generated according to the target audio signal, and whether the first audio fingerprint is identical to a preset second audio fingerprint is judged, and each audio signal corresponds to a unique audio fingerprint, so that when the first audio fingerprint and the preset second audio fingerprint are identical, the coil faults of the magnetic bearing are determined, and accurate judgment of the coil faults of the magnetic bearing is realized.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
The foregoing is only a partial embodiment of the present application, and it should be noted that, for a person skilled in the art, several improvements and modifications can be made without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims (10)
1. A method of detecting a fault in a magnetic bearing coil, comprising:
acquiring an actual audio signal of the magnetic bearing within a preset time length;
Determining whether the actual audio signal is a target audio signal or not based on the actual audio signal and a preset standard audio signal, wherein the target audio signal is a working audio signal with abnormality;
if yes, generating a first audio fingerprint based on the actual audio signal;
matching the first audio fingerprint with a preset second audio fingerprint to determine whether the first audio fingerprint is identical to the preset second audio fingerprint or not, wherein the preset second audio fingerprint is generated based on an audio signal with abnormal work;
if yes, determining that the magnetic bearing has coil faults.
2. The method of claim 1, wherein the generating a first audio fingerprint based on the actual audio signal comprises:
dividing the actual audio signals into a first preset number of actual word audio signals;
for each actual sub-audio signal, acquiring a second preset number of target spectrum magnitudes in the actual sub-audio signal and time information corresponding to the target spectrum magnitudes;
and generating the first audio fingerprint based on the target frequency spectrum amplitude corresponding to all the actual sub-audio signals and the time information corresponding to the target frequency spectrum amplitude.
3. The method according to claim 2, wherein generating the first audio fingerprint based on the target spectral magnitudes corresponding to all the actual sub-audio signals and the time information corresponding to the target spectral magnitudes comprises:
determining an average target spectral amplitude for each actual sub-audio signal based on all of the target spectral amplitudes and quantity information of the target spectral amplitudes;
determining a target actual sub-audio signal corresponding to the maximum average target spectral amplitude based on the average target spectral amplitude corresponding to each of the actual sub-audio signals;
calculating, for a target actual sub-audio signal, a time difference value corresponding to two adjacent target spectrum amplitudes based on time information corresponding to the target spectrum amplitudes;
the first audio fingerprint is generated based on all of the target spectral magnitudes and all of the time differences in the target actual sub-audio signal.
4. The method according to claim 1, wherein before determining whether the actual audio signal is a target audio signal based on the actual audio signal and a preset standard audio signal, further comprising:
Framing the actual audio signal to obtain a first frame signal, and framing the preset standard audio signal to obtain a second frame signal;
matching and aligning the actual audio signal with the preset standard audio signal based on the first frame signal and the second frame signal;
correspondingly, the determining whether the actual audio signal is the target audio signal based on the actual audio signal and the preset standard audio signal includes:
and determining whether the actual audio signal is a target audio signal or not based on the matched and aligned actual audio signal and a preset standard audio signal.
5. The method of claim 1, wherein after determining that the magnetic bearing has a coil fault, further comprising:
acquiring the current ambient temperature and an infrared image of the magnetic bearing;
determining a standard working temperature range corresponding to the current environment temperature based on a target corresponding relation and the current environment temperature, wherein the target corresponding relation is the corresponding relation between the environment temperature and the standard working temperature range;
acquiring the temperature distribution information of the magnetic bearing from the infrared image;
And determining a target coil based on the temperature distribution information and the standard working temperature range, wherein the target coil is a coil with faults.
6. A magnetic bearing coil fault detection apparatus, comprising:
the acquisition module is used for acquiring an actual audio signal of the magnetic bearing within a preset time length;
the target working audio signal determining module is used for determining whether the actual audio signal is a target audio signal or not based on the actual audio signal and a preset standard audio signal, and the target audio signal is a working audio signal with abnormality; if yes, triggering a first audio fingerprint generation module;
a first audio fingerprint generation module for generating a first audio fingerprint based on the actual audio signal;
the audio fingerprint judging module is used for matching the first audio fingerprint with a preset second audio fingerprint to determine whether the first audio fingerprint is identical to the preset second audio fingerprint or not, and the preset second audio fingerprint is generated based on an audio signal with abnormal work; if yes, triggering a fault determining module;
and the fault determining module is used for determining that the magnetic bearing has coil faults.
7. The magnetic bearing coil fault detection apparatus of claim 6, wherein the first audio fingerprint generation module, when executing the generation of a first audio fingerprint based on the actual audio signal, is to:
dividing the actual audio signals into a first preset number of actual word audio signals;
for each actual sub-audio signal, acquiring a second preset number of target spectrum magnitudes in the actual sub-audio signal and time information corresponding to the target spectrum magnitudes;
and generating the first audio fingerprint based on the target frequency spectrum amplitude corresponding to all the actual sub-audio signals and the time information corresponding to the target frequency spectrum amplitude.
8. The magnetic bearing coil failure detection apparatus of claim 6, wherein the first audio fingerprint generation module, when executing generation of the first audio fingerprint based on a target spectral amplitude value corresponding to all of the actual sub-audio signals and time information corresponding to the target spectral amplitude value, is configured to:
determining an average target spectral amplitude for each actual sub-audio signal based on all of the target spectral amplitudes and quantity information of the target spectral amplitudes;
Determining a target actual sub-audio signal corresponding to the maximum average target spectral amplitude based on the average target spectral amplitude corresponding to each of the actual sub-audio signals;
calculating, for a target actual sub-audio signal, a time difference value corresponding to two adjacent target spectrum amplitudes based on time information corresponding to the target spectrum amplitudes;
the first audio fingerprint is generated based on all of the target spectral magnitudes and all of the time differences in the target actual sub-audio signal.
9. An electronic device, comprising:
at least one processor;
a memory;
at least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: performing the magnetic bearing coil failure detection method of any of claims 1-7.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed in a computer, causes the computer to perform the magnetic bearing coil fault detection method of any of claims 1 to 7.
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| CN202311398394.6A CN117538677A (en) | 2023-10-26 | 2023-10-26 | Magnetic bearing coil fault detection method, device, equipment and medium |
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| CN202311398394.6A CN117538677A (en) | 2023-10-26 | 2023-10-26 | Magnetic bearing coil fault detection method, device, equipment and medium |
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