Method, device, equipment and medium for separating and identifying electromagnetic noise sources of motors

Abstract

The present invention discloses a method, device, equipment, and medium for separating and identifying electromagnetic noise sources of a motor, relating to the technical field of motor noise analysis. The method includes conducting a motor vibration and noise test based on a motor test bench, obtaining vibration data and noise data of the motor under no-load conditions, as well as vibration data and noise data under loaded conditions; transforming and processing the obtained vibration data and noise data to obtain spectral information of the vibration data and noise data; calculating the increment of electromagnetic noise after the load is introduced based on the spectral information of the vibration data of the motor under no-load conditions and under loaded conditions; obtaining the peak frequency of the electromagnetic noise based on the increment, determining the order of each peak frequency based on the relationship between the noise frequency and the order, and determining the source of the electromagnetic noise in combination with electromagnetic force decomposition. The present application can accurately identify the source of electromagnetic noise in a motor with high identification efficiency.

Description

Technical Field

[0001] The present application relates to the technical field of motor noise analysis, and in particular to a method, device, equipment and medium for separating and identifying electromagnetic noise sources of a motor. Background Art

[0002] Electric motors are widely used in applications such as drive motors, seat adjustment motors, and generators due to their high reliability, compact size, and fast response time. However, the noise generated by these motors has become a challenge for engineers. Motor noise can be categorized as mechanical, electromagnetic, and aerodynamic, depending on its generation mechanism.

[0003] Mechanical noise is mainly generated by the movement of structures such as bearings and brushes. Aerodynamic noise includes ventilation noise and the noise generated by the friction between the rotating parts of the generator and the air. Electromagnetic noise is the electromagnetic force waves in the air gap magnetic field acting on the stator tooth tips, causing the motor to vibrate structurally and then radiate electromagnetic noise outward.

[0004] Motor noise comes from numerous sources, and the mechanisms of electromagnetic noise generation are complex. Therefore, effectively identifying the components of this noise is of great research significance. Currently, methods such as spectrum analysis and order analysis are primarily used to identify motor noise sources. However, because factors such as motor speed and load significantly influence noise levels, analyzing noise sources is currently difficult. Summary of the Invention

[0005] The present application provides a method, device, equipment and medium for separating and identifying electromagnetic noise sources of a motor, which can accurately identify the electromagnetic noise sources of the motor with high identification efficiency.

[0006] In a first aspect, an embodiment of the present application provides a method for separating and identifying electromagnetic noise sources of a motor, the method comprising:

[0007] Conduct motor vibration and noise tests based on a motor bench to obtain vibration and noise data of the motor under no-load conditions, as well as vibration and noise data under loaded conditions;

[0008] The acquired vibration data and noise data are transformed and processed to obtain frequency spectrum information of the vibration data and noise data;

[0009] Based on the frequency spectrum information of the motor's vibration data under no-load and loaded conditions, the increase in electromagnetic noise after the load is introduced is calculated;

[0010] The peak frequency of the electromagnetic noise is obtained according to the increment, the order of each peak frequency is determined based on the relationship between the noise frequency and the order, and the source of the electromagnetic noise is determined in combination with the electromagnetic force decomposition.

[0011] In combination with the first aspect, in one embodiment, the motor stand includes:

[0012] A detection assembly, comprising a dynamometer, a coupling, a motor bracket for placing a motor to be tested, and a dynamometer bracket for placing the dynamometer, wherein the motor bracket and the dynamometer bracket are spaced apart;

[0013] A sensing assembly comprising a plurality of sensors distributed around the motor to be tested for collecting vibration data and noise data;

[0014] One end of the coupling is connected to the dynamometer, and the other end is used to be connected to the rotating shaft of the motor to be tested.

[0015] In combination with the first aspect, in one embodiment, the sensor includes a plurality of noise sensors arranged near the motor to be tested and a plurality of vibration sensors arranged at different positions of a housing of the motor to be tested.

[0016] In conjunction with the first aspect, in one embodiment, the transforming the acquired vibration data and noise data to obtain spectrum information of the vibration data and noise data specifically includes:

[0017] The vibration data and noise data of the motor under no-load condition are both subjected to discrete Fourier transform to calculate the frequency spectrum information of the vibration data and noise data under no-load condition of the motor;

[0018] The vibration data and noise data of the motor under load conditions are both subjected to discrete Fourier transform, and the frequency spectrum information of the vibration data and noise data under load conditions of the motor is calculated.

[0019] In combination with the first aspect, in one embodiment,

[0020] The calculation obtains the frequency spectrum information of the vibration data and noise data under the no-load condition of the motor. The specific calculation method is:

[0021]

[0022]

[0023] Among them, V afi represents the frequency spectrum information of the vibration data measured by the i-th vibration sensor under the no-load condition of the motor, N1 represents the length of the vibration data measured by the i-th vibration sensor under the no-load condition of the motor, v ani Indicates V ai The nth data in V ai represents the vibration data measured by the i-th vibration sensor under the no-load condition of the motor, e represents the natural constant, k represents the sampling rate, S afjrepresents the spectrum information of the noise data measured by the jth noise sensor under the no-load condition of the motor, N2 represents the length of the noise data measured by the jth noise sensor under the no-load condition of the motor, s anj Indicates V aj The nth data in V aj represents the noise data measured by the jth noise sensor under the no-load condition of the motor;

[0024] The calculation obtains the frequency spectrum information of the vibration data and noise data under the motor load condition. The specific calculation method is:

[0025]

[0026]

[0027] Among them, V bfi represents the frequency spectrum information of the vibration data measured by the i-th vibration sensor under the motor load condition, N3 represents the length of the vibration data measured by the i-th vibration sensor under the motor load condition, v bni Indicates V bi The nth data in V bi represents the vibration data measured by the i-th vibration sensor under the motor load condition, S bfj represents the spectrum information of the noise data measured by the jth noise sensor under the motor load condition, N4 represents the length of the noise data measured by the jth noise sensor under the motor load condition, s bnj Indicates V bj The nth data in V bj represents the noise data measured by the jth noise sensor under the motor load condition, where N1, N2, N3, and N4 are equal.

[0028] In combination with the first aspect, in one embodiment, the calculation of the increment of electromagnetic noise after the load is introduced based on the spectrum information of the vibration data of the motor under no-load conditions and under loaded conditions specifically includes:

[0029] Obtain the frequency spectrum information of the vibration data of the motor under no-load conditions and the frequency spectrum information of the vibration data of the motor under loaded conditions, and calculate the increase of electromagnetic noise after the load is introduced. The calculation method is:

[0030] V M =V afi -V bfi

[0031] Among them, V M Indicates the increase in electromagnetic noise after the load is introduced;

[0032] Based on the calculated increments, a relationship diagram between frequency and amplitude is plotted to obtain the frequency corresponding to each peak value, thereby determining the peak frequencies of the electromagnetic noise.

[0033] In combination with the first aspect, in one embodiment, obtaining the peak frequency of the electromagnetic noise according to the increment, determining the order of each peak frequency based on the relationship between the noise frequency and the order, and determining the source of the electromagnetic noise in combination with electromagnetic force decomposition specifically include:

[0034] Substitute the peak frequencies of the electromagnetic noise obtained according to the increment into the relationship between the motor noise frequency and the order to obtain the electromagnetic noise order corresponding to each peak frequency of the electromagnetic noise. The relationship between the motor noise frequency and the order is:

[0035] F=Hm / 60

[0036] Where F represents the motor noise frequency, H represents the electromagnetic noise order, and m represents the motor speed;

[0037] Based on the obtained electromagnetic noise orders and combined with electromagnetic force decomposition, the source of the electromagnetic noise is determined.

[0038] In conjunction with the second aspect, an embodiment of the present application provides a device for separating and identifying electromagnetic noise sources of a motor, the device comprising:

[0039] A test module is used to perform motor vibration and noise tests based on a motor test bench to obtain vibration and noise data of the motor under no-load conditions, as well as vibration and noise data under loaded conditions;

[0040] A processing module, which is used to transform and process the acquired vibration data and noise data to obtain frequency spectrum information of the vibration data and noise data;

[0041] A calculation module, which is used to calculate the increase of electromagnetic noise after the load is introduced based on the spectrum information of the vibration data of the motor under no-load conditions and under loaded conditions;

[0042] A determination module is used to obtain the peak frequency of the electromagnetic noise according to the increment, and determine the order of each peak frequency in combination with the relationship between the noise frequency and the order to determine the source of the electromagnetic noise.

[0043] In combination with the third aspect, an embodiment of the present application provides a motor electromagnetic noise source separation and identification device, which includes a processor, a memory, and a motor electromagnetic noise source separation and identification program stored on the memory and executable by the processor. When the motor electromagnetic noise source separation and identification program is executed by the processor, the steps of the above-mentioned motor electromagnetic noise source separation and identification method are implemented.

[0044] In combination with the fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a motor electromagnetic noise source separation and identification program is stored. When the motor electromagnetic noise source separation and identification program is executed by a processor, the steps of the above-mentioned motor electromagnetic noise source separation and identification method are implemented.

[0045] The beneficial effects of the technical solutions provided in the embodiments of the present application include:

[0046] Motor vibration and noise tests are conducted on a motor test bench to obtain vibration and noise data under no-load conditions, as well as vibration and noise data under loaded conditions. By processing the data under these two conditions, the electromagnetic noise introduced by the load is separated. Finally, the noise source is identified by combining electromagnetic force decomposition, thereby achieving accurate identification of the motor's electromagnetic noise source with high identification efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 This is a flow chart of the method for separating and identifying the electromagnetic noise sources of a motor according to the present application;

[0048] Figure 2 It is the structural diagram of the motor test bench;

[0049] Figure 3 This is an example of a frequency-amplitude diagram corresponding to the increase in electromagnetic noise after the load is introduced;

[0050] Figure 4 This is a schematic diagram of the functional modules of the motor electromagnetic noise source separation and identification device of this application;

[0051] Figure 5 This is a schematic diagram of the hardware structure of the motor electromagnetic noise source separation and identification device in this application. DETAILED DESCRIPTION

[0052] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0053] In order to make the objectives, technical solutions and advantages of this application clearer, the implementation methods of this application will be further described in detail below with reference to the accompanying drawings.

[0054] In the first aspect, an embodiment of the present application provides a method for separating and identifying the electromagnetic noise source of a motor. A motor vibration noise test is performed on a motor test bench to obtain vibration and noise data under no-load and load conditions of the motor, respectively. By processing the data under the two working conditions, the electromagnetic noise introduced by the load is separated, and finally the noise source is identified by combining electromagnetic force decomposition.

[0055] In one embodiment, referring to Figure 1 , Figure 1 This is a flow chart of the method for separating and identifying the electromagnetic noise sources of the motor in this application. Figure 1 As shown in FIG, the method for separating and identifying the electromagnetic noise sources of the motor includes:

[0056] S1: Conduct motor vibration and noise tests on a motor test bench to obtain vibration and noise data of the motor under no-load conditions, as well as vibration and noise data under loaded conditions;

[0057] That is, the motor vibration and noise test must be carried out first, which can be carried out on a motor test bench or in the corresponding use state (such as the vehicle state). Figure 2 Figure 2 shows a schematic diagram of the motor test bench structure. Specifically, the motor test bench comprises a detection assembly and a sensor assembly. The detection assembly includes a dynamometer, a coupling, a motor bracket for placing the motor under test, and a dynamometer bracket for placing the dynamometer, with the motor bracket and dynamometer bracket spaced apart. The sensor assembly includes multiple sensors distributed around the motor under test to collect vibration and noise data. One end of the coupling is connected to the dynamometer, and the other end is connected to the rotating shaft of the motor under test. Both the motor bracket and the dynamometer bracket are located on the floor.

[0058] As for the sensors, they include a plurality of noise sensors for being arranged near the motor to be tested and a plurality of vibration sensors for being arranged at different positions of the housing of the motor to be tested.

[0059] When conducting a motor vibration and noise test on a motor test bench, the motor to be tested is placed on a motor bracket and connected to a dynamometer via a coupling. A certain number of vibration sensors are then placed at different locations on the motor housing as needed. Noise sensors can be placed near the motor to be tested, such as on the top, front, back, left, and right of the motor. Vibration and noise data are then collected from the motor under no-load conditions, as well as under loaded conditions. The sound collection component of the noise sensor can be a microphone.

[0060] Furthermore, to ensure accurate test data, vibration and noise testing can be conducted in an anechoic chamber. During the experiment, the motor is tested at a constant speed of 265 rpm, though other speeds or variable speeds can be set as needed. The motor load can be set as needed, such as 10% or 100% of rated power.

[0061] For no-load conditions, the vibration data V of the motor when it is working is tested under no-load conditions. ai and noise data V aj For load conditions, when the motor is under load, test the vibration data V when the motor is working. bi and noise data V bj It should be noted that when testing under no-load conditions and loaded conditions, the sampling rate, test duration and other information remain the same.

[0062] S2: transforming the acquired vibration data and noise data to obtain frequency spectrum information of the vibration data and noise data;

[0063] Furthermore, in one embodiment, the acquired vibration data and noise data are transformed to obtain spectrum information of the vibration data and noise data, specifically including:

[0064] S201: performing discrete Fourier transform on the vibration data and noise data of the motor under no-load condition, and calculating frequency spectrum information of the vibration data and noise data of the motor under no-load condition;

[0065] Specifically, a discrete Fourier transform is performed on the vibration data of the motor under the no-load condition to obtain the frequency spectrum information of the vibration data of the motor under the no-load condition; a discrete Fourier transform is performed on the noise data of the motor under the no-load condition to obtain the frequency spectrum information of the noise data of the motor under the no-load condition;

[0066] S202: performing discrete Fourier transform on the acquired vibration data and noise data of the motor under the load condition, and calculating frequency spectrum information of the vibration data and noise data under the load condition of the motor.

[0067] Specifically, the vibration data of the motor under load conditions is discrete Fourier transformed to obtain the spectrum information of the vibration data under load conditions, and the noise data of the motor under load conditions is discrete Fourier transformed to obtain the spectrum information of the noise data under load conditions.

[0068] Specifically, the frequency spectrum information of the vibration data and noise data under the no-load condition of the motor is calculated. The specific calculation method is:

[0069]

[0070]

[0071] Among them, V afi represents the frequency spectrum information of the vibration data measured by the i-th vibration sensor under the no-load condition of the motor, N1 represents the length of the vibration data measured by the i-th vibration sensor under the no-load condition of the motor, v ani Indicates V ai The nth data in V ai represents the vibration data measured by the i-th vibration sensor under the no-load condition of the motor, e represents the natural constant, k represents the sampling rate, S afj represents the spectrum information of the noise data measured by the jth noise sensor under the no-load condition of the motor, N2 represents the length of the noise data measured by the jth noise sensor under the no-load condition of the motor, s anj Indicates V aj The nth data in V aj Represents the noise data measured by the jth noise sensor under the no-load condition of the motor.

[0072] Specifically, the spectrum information of the vibration data and noise data under the motor load condition is calculated. The specific calculation method is:

[0073]

[0074]

[0075] Among them, V bfi represents the frequency spectrum information of the vibration data measured by the i-th vibration sensor under the motor load condition, N3 represents the length of the vibration data measured by the i-th vibration sensor under the motor load condition, v bni Indicates V bi The nth data in V bi represents the vibration data measured by the i-th vibration sensor under the motor load condition, S bfj represents the spectrum information of the noise data measured by the jth noise sensor under the motor load condition, N4 represents the length of the noise data measured by the jth noise sensor under the motor load condition, s bnj Indicates V bj The nth data in V bj represents the noise data measured by the jth noise sensor under the motor load condition, where N1, N2, N3, and N4 are equal.

[0076] S3: Based on the frequency spectrum information of the motor's vibration data under no-load conditions and loaded conditions, the increase in electromagnetic noise after the load is introduced is calculated;

[0077] Furthermore, in one embodiment, based on the spectrum information of the vibration data of the motor under no-load conditions and under loaded conditions, the increment of electromagnetic noise after the load is introduced is calculated, specifically including:

[0078] S301: Obtain frequency spectrum information of vibration data of the motor under no-load conditions and frequency spectrum information of vibration data of the motor under loaded conditions, and calculate the increment of electromagnetic noise after the load is introduced. The calculation method is:

[0079] V M =V afi -V bfi

[0080] Among them, V M Indicates the increase in electromagnetic noise after the load is introduced;

[0081] In actual applications, the vibration data of a specific radial direction of the motor measured by a vibration sensor can be selected for processing to obtain the spectral information of this vibration data under no-load conditions and the spectral information under loaded conditions, thereby calculating the increment of electromagnetic noise after the load is introduced. Of course, the spectral information corresponding to the vibration data measured by other vibration sensors can also be selected for incremental calculation, or the spectral information corresponding to the noise data measured by other noise sensors can also be selected for incremental calculation.

[0082] S302: Based on the calculated increment, a relationship diagram between frequency and amplitude is drawn to obtain the frequency corresponding to each peak value, and determine each peak frequency of the electromagnetic noise.

[0083] The calculated increments are plotted as a frequency-amplitude graph, where the horizontal axis represents the frequency and the vertical axis represents the amplitude. Figure 3 The figure shows an example of the frequency-amplitude diagram corresponding to the increase in electromagnetic noise after the load is introduced. Figure 3 It can be seen that the amplitude reaches a peak value when the frequencies are f1, f2, f3, f4, and f5 respectively. Based on the increment, the peak frequencies of the electromagnetic noise are determined to be f1, f2, f3, f4, and f5.

[0084] S4: Obtaining the peak frequency of the electromagnetic noise according to the increment, determining the order of each peak frequency based on the relationship between the noise frequency and the order, and determining the source of the electromagnetic noise in combination with electromagnetic force decomposition.

[0085] Furthermore, in one embodiment, the peak frequency of the electromagnetic noise is obtained according to the increment, the order of each peak frequency is determined based on the relationship between the noise frequency and the order, and the source of the electromagnetic noise is determined in combination with electromagnetic force decomposition, specifically including:

[0086] S401: Substitute each peak frequency of the electromagnetic noise obtained according to the increment into the relationship between the motor noise frequency and the order to obtain the electromagnetic noise order corresponding to each peak frequency of the electromagnetic noise, wherein the relationship between the motor noise frequency and the order is:

[0087] F=Hm / 60

[0088] Where F represents the motor noise frequency, H represents the electromagnetic noise order, and m represents the motor speed;

[0089] For the multiple peak frequencies of electromagnetic noise obtained according to the increment, they are substituted into the relationship between motor noise frequency and order in sequence to calculate the corresponding electromagnetic noise order. For example, the value of the first peak frequency f1 is used as the value of F in the above formula, and H is calculated by the above formula, that is, the electromagnetic noise order corresponding to the first peak frequency is calculated.

[0090] S402: Determine the source of the electromagnetic noise based on the obtained electromagnetic noise orders and in combination with electromagnetic force decomposition.

[0091] For example, consider a motor with 6 pole pairs and 36 slots. During testing, the motor speed is 2650 rpm, and the first peak frequency is 532 Hz, corresponding to an amplitude of 0.712 g. Substituting this into the equation for the relationship between motor noise frequency and order, we calculate that the electromagnetic noise order H corresponding to f1 is 12th order, resulting from an electromagnetic force of 2p = 12th order. This clarifies the specific source of the electromagnetic noise. p represents the number of pole pairs.

[0092] It should be noted that the value and distribution of the radial electromagnetic force per unit area at the stator tooth tip generated by the air gap magnetic field are proportional to the square of the air gap magnetic flux density, and can be approximately solved as:

[0093]

[0094] Among them, p n (θ, t) represents the radial electromagnetic force value and distribution per unit area at the stator tooth tip generated by the air gap magnetic field, b(θ, t) represents the air gap magnetic flux density, and μ0 represents a constant with a value of 4π×10 -7 .

[0095] The air gap magnetic flux density b(θ,t) can be expressed as:

[0096] b(θ,t)=f(θ,t)λ(θ,t)

[0097] When the motor switches from no-load to loaded mode, the electromagnetic noise increases significantly and becomes more prominent. The presence of mechanical noise and aerodynamic noise also affects the analysis of electromagnetic noise.

[0098] The motor electromagnetic noise source separation and identification method of the embodiment of the present application performs a motor vibration and noise test on a motor test bench to obtain vibration data and noise data of the motor under no-load conditions, as well as vibration data and noise data under loaded conditions. By processing the data under these two conditions, the electromagnetic noise introduced by the load is separated, and finally the noise source is identified by combining electromagnetic force decomposition, thereby achieving accurate identification of the motor electromagnetic noise source with high identification efficiency.

[0099] In a second aspect, an embodiment of the present application also provides a device for separating and identifying electromagnetic noise sources of a motor.

[0100] In one embodiment, referring to Figure 4 , Figure 4 This is a functional module diagram of the motor electromagnetic noise source separation and identification device of this application. Figure 4 As shown, the motor electromagnetic noise source separation and identification device includes a test module, a processing module, a calculation module, and a determination module.

[0101] The test module is used to perform motor vibration and noise tests based on a motor test bench to obtain vibration data and noise data of the motor under no-load conditions, as well as vibration data and noise data under loaded conditions; the processing module is used to transform and process the obtained vibration data and noise data to obtain frequency spectrum information of the vibration data and noise data; the calculation module is used to calculate the increment of electromagnetic noise after the load is introduced based on the frequency spectrum information of the vibration data of the motor under no-load conditions and loaded conditions; the determination module is used to obtain the peak frequency of the electromagnetic noise according to the increment, and determine the order of each peak frequency based on the relationship between noise frequency and order to determine the source of the electromagnetic noise.

[0102] Among them, the functional implementation of each module in the above-mentioned motor electromagnetic noise source separation and identification device corresponds to the various steps in the above-mentioned motor electromagnetic noise source separation and identification method embodiment, and their functions and implementation processes will not be repeated here one by one.

[0103] In a third aspect, an embodiment of the present application provides a device for separating and identifying the electromagnetic noise sources of a motor. The device for separating and identifying the electromagnetic noise sources of a motor can be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.

[0104] Reference Figure 5 , Figure 5 Schematic diagram of the hardware structure of the motor electromagnetic noise source separation and identification device involved in the embodiment of the present application. In the embodiment of the present application, the motor electromagnetic noise source separation and identification device may include a processor, a memory, a communication interface and a communication bus.

[0105] The communication bus may be of any type and is used to interconnect the processor, memory, and communication interface.

[0106] Communication interfaces include input / output (I / O), physical, and logical interfaces, which interconnect components within the motor electromagnetic noise source isolation and identification device, as well as interfaces that connect the device to other devices (such as other computing devices or user devices). Physical interfaces can include Ethernet, fiber, or ATM interfaces; user devices can include displays and keyboards.

[0107] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0108] The processor may be a general-purpose processor that can call a motor electromagnetic noise source separation and identification program stored in a memory and execute the motor electromagnetic noise source separation and identification method provided in an embodiment of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the motor electromagnetic noise source separation and identification program is called can refer to the various embodiments of the motor electromagnetic noise source separation and identification method of the present application, and will not be repeated here.

[0109] Those skilled in the art will understand that Figure 5 The hardware structure shown in the figure does not constitute a limitation to the present application and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0110] In a fourth aspect, an embodiment of the present application also provides a computer-readable storage medium.

[0111] The computer-readable storage medium of the present application stores a motor electromagnetic noise source separation and identification program, wherein when the motor electromagnetic noise source separation and identification program is executed by a processor, the steps of the motor electromagnetic noise source separation and identification method as described above are implemented.

[0112] Among them, the method implemented when the motor electromagnetic noise source separation and identification program is executed can refer to the various embodiments of the motor electromagnetic noise source separation and identification method of the present application, and will not be repeated here.

[0113] It should be noted that the serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0114] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit the "first", "second" and "third" to different types.

[0115] In the description of the embodiments of this application, the words "exemplary," "for example," or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary," "for example," or "for example" in the embodiments of this application should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary," "for example," or "for example" is intended to present the relevant concepts in a concrete manner.

[0116] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.

[0117] In some processes described in the embodiments of the present application, multiple operations or steps are included that appear in a specific order. However, it should be understood that these operations or steps may not be performed in the order in which they appear in the embodiments of the present application or may be performed in parallel. The sequence numbers of the operations are only used to distinguish between different operations, and the sequence numbers themselves do not represent any order of execution. In addition, these processes may include more or fewer operations, and these operations or steps may be performed in sequence or in parallel, and these operations or steps may be combined.

[0118] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, of course, it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes a number of instructions for enabling a terminal device to execute the methods described in each embodiment of the present application.

[0119] The above are only preferred embodiments of the present application and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for separating and identifying electromagnetic noise sources of a motor, characterized in that: The method for separating and identifying the electromagnetic noise sources of a motor comprises: Conduct motor vibration and noise tests based on a motor bench to obtain vibration and noise data of the motor under no-load conditions, as well as vibration and noise data under loaded conditions; The acquired vibration data and noise data are transformed and processed to obtain frequency spectrum information of the vibration data and noise data; Based on the frequency spectrum information of the motor's vibration data under no-load and loaded conditions, the increase in electromagnetic noise after the load is introduced is calculated; The peak frequency of the electromagnetic noise is obtained according to the increment, the order of each peak frequency is determined based on the relationship between the noise frequency and the order, and the source of the electromagnetic noise is determined in combination with the electromagnetic force decomposition.

2. The method for separating and identifying electromagnetic noise sources of a motor according to claim 1, wherein: The motor stand comprises: A detection assembly, comprising a dynamometer, a coupling, a motor bracket for placing a motor to be tested, and a dynamometer bracket for placing the dynamometer, wherein the motor bracket and the dynamometer bracket are spaced apart; A sensing assembly comprising a plurality of sensors distributed around the motor to be tested for collecting vibration data and noise data; One end of the coupling is connected to the dynamometer, and the other end is used to be connected to the rotating shaft of the motor to be tested.

3. The method for separating and identifying electromagnetic noise sources of a motor according to claim 2, wherein: The sensors include a plurality of noise sensors arranged near the motor to be tested and a plurality of vibration sensors arranged at different positions of a housing of the motor to be tested.

4. The method for separating and identifying electromagnetic noise sources of a motor according to claim 1, wherein: The transformation processing of the acquired vibration data and noise data to obtain spectrum information of the vibration data and noise data specifically includes: The vibration data and noise data of the motor under no-load condition are both subjected to discrete Fourier transform to calculate the frequency spectrum information of the vibration data and noise data under no-load condition of the motor; The vibration data and noise data of the motor under load conditions are both subjected to discrete Fourier transform, and the frequency spectrum information of the vibration data and noise data under load conditions of the motor is calculated.

5. The method for separating and identifying electromagnetic noise sources of a motor according to claim 1, wherein: The calculation obtains the frequency spectrum information of the vibration data and noise data under the no-load condition of the motor. The specific calculation method is: Among them, V afi represents the frequency spectrum information of the vibration data measured by the i-th vibration sensor under the no-load condition of the motor, N1 represents the length of the vibration data measured by the i-th vibration sensor under the no-load condition of the motor, v ani Indicates V ai The nth data in V ai represents the vibration data measured by the i-th vibration sensor under the no-load condition of the motor, e represents the natural constant, k represents the sampling rate, S afj represents the spectrum information of the noise data measured by the jth noise sensor under the no-load condition of the motor, N2 represents the length of the noise data measured by the jth noise sensor under the no-load condition of the motor, s anj Indicates V aj The nth data in V aj represents the noise data measured by the jth noise sensor under the no-load condition of the motor; The calculation obtains the frequency spectrum information of the vibration data and noise data under the motor load condition. The specific calculation method is: Among them, V bfi represents the frequency spectrum information of the vibration data measured by the i-th vibration sensor under the motor load condition, N3 represents the length of the vibration data measured by the i-th vibration sensor under the motor load condition, v bni Indicates V bi The nth data in V bi represents the vibration data measured by the i-th vibration sensor under the motor load condition, S bfj represents the spectrum information of the noise data measured by the jth noise sensor under the motor load condition, N4 represents the length of the noise data measured by the jth noise sensor under the motor load condition, s bnj Indicates V bj The nth data in V bj represents the noise data measured by the jth noise sensor under the motor load condition, where N1, N2, N3, and N4 are equal.

6. A method for separating and identifying electromagnetic noise sources of a motor as claimed in claim 5, characterized in that: The calculation of the increment of electromagnetic noise after the load is introduced based on the spectrum information of the vibration data of the motor under no-load conditions and under loaded conditions specifically includes: Obtain the frequency spectrum information of the vibration data of the motor under no-load conditions and the frequency spectrum information of the vibration data of the motor under loaded conditions, and calculate the increase of electromagnetic noise after the load is introduced. The calculation method is: V M =V afi -V bfi Among them, V M Indicates the increase in electromagnetic noise after the load is introduced; Based on the calculated increments, a relationship diagram between frequency and amplitude is plotted to obtain the frequency corresponding to each peak value, thereby determining the peak frequencies of the electromagnetic noise.

7. A method for separating and identifying electromagnetic noise sources of a motor as claimed in claim 6, characterized in that: Obtaining the peak frequency of the electromagnetic noise according to the increment, determining the order of each peak frequency based on the relationship between the noise frequency and the order, and determining the source of the electromagnetic noise in combination with electromagnetic force decomposition specifically includes: Substitute the peak frequencies of the electromagnetic noise obtained according to the increment into the relationship between the motor noise frequency and the order to obtain the electromagnetic noise order corresponding to each peak frequency of the electromagnetic noise. The relationship between the motor noise frequency and the order is: F=Hm / 60 Where F represents the motor noise frequency, H represents the electromagnetic noise order, and m represents the motor speed; Based on the obtained electromagnetic noise orders and combined with electromagnetic force decomposition, the source of the electromagnetic noise is determined.

8. A device for separating and identifying electromagnetic noise sources of a motor, characterized in that: The motor electromagnetic noise source separation and identification device comprises: A test module is used to perform motor vibration and noise tests based on a motor test bench to obtain vibration and noise data of the motor under no-load conditions, as well as vibration and noise data under loaded conditions; A processing module, which is used to transform and process the acquired vibration data and noise data to obtain frequency spectrum information of the vibration data and noise data; A calculation module, which is used to calculate the increase of electromagnetic noise after the load is introduced based on the spectrum information of the vibration data of the motor under no-load conditions and under loaded conditions; A determination module is used to obtain the peak frequency of the electromagnetic noise according to the increment, and determine the order of each peak frequency in combination with the relationship between the noise frequency and the order to determine the source of the electromagnetic noise.

9. A device for separating and identifying electromagnetic noise sources of a motor, characterized in that: The motor electromagnetic noise source separation and identification device includes a processor, a memory, and a motor electromagnetic noise source separation and identification program stored on the memory and executable by the processor. When the motor electromagnetic noise source separation and identification program is executed by the processor, the steps of the motor electromagnetic noise source separation and identification method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a motor electromagnetic noise source separation and identification program, wherein when the motor electromagnetic noise source separation and identification program is executed by a processor, the steps of the motor electromagnetic noise source separation and identification method according to any one of claims 1 to 7 are implemented.

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