Method and device for detecting fault of gearbox
Patent Information
- Application Number
- CN202280098353.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2022-10-17
- Publication Date
- 2025-03-04
AI Technical Summary
Existing gearbox fault detection methods are susceptible to noise interference, resulting in the inability to accurately detect the fault status of the gearbox, especially during vehicle driving.
By obtaining the detection data of the gearbox, it is divided into multiple groups of sub-band data, and the characteristic values of each group of sub-band data are obtained. These characteristic values are used to determine whether the gearbox is faulty and reduce the impact of noise on detection.
The accuracy of gearbox fault detection is improved, the impact of noise on the detection results is reduced, and the fault status of the gearbox can be detected promptly and accurately.
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Figure CN119563099A_ABST
Abstract
Description
Method and device for detecting gearbox failure Technical Field
[0001] The present application relates to the field of data processing, and in particular, to a method and device for detecting a fault of a gearbox. Background Art
[0002] As the power transmission system of vehicles, gearboxes play a vital role in the safe operation of vehicles. Therefore, it is necessary to detect the fault status of gearboxes.
[0003] Typically, when detecting gearbox faults, spectral analysis methods such as cepstrum analysis are used to analyze the gear vibration signals. For example, spectral analysis can detect changes in the meshing frequency and sideband energy of the gears to determine if the gearbox is faulty. However, this detection method is susceptible to noise from the road surface and vehicle body vibrations, causing the meshing frequency and sideband energy to be drowned out by the noise and unable to be accurately detected. This, in turn, makes it difficult to accurately detect gearbox faults. For example, if a gear fault occurs during vehicle operation, it is impossible to detect it promptly and accurately.
[0004] Therefore, an effective gear fault detection method is very necessary. A method that can accurately detect gearbox faults is needed.
[0005] Summary of the Invention
[0006] One aspect of the present disclosure provides a method for detecting a gearbox fault, the method comprising: acquiring detection data of the gearbox; dividing the detection data into multiple groups of sub-band data; acquiring characteristic values of each group of sub-band data in the multiple groups of sub-band data; and determining whether the gearbox has a fault based on all the acquired characteristic values.
[0007] Another aspect of the present disclosure provides a device for detecting a fault in a gearbox, the device comprising: a data acquisition unit configured to acquire detection data of the gearbox; a data division unit configured to divide the detection data into multiple groups of sub-band data; a characteristic value acquisition unit configured to acquire characteristic values of each group of sub-band data in the multiple groups of sub-band data; and a fault determination unit configured to determine whether the gearbox has a fault based on all the acquired characteristic values.
[0008] Another aspect of the present disclosure provides a computer-readable medium storing instructions, which, when executed by a processor, causes the processor to perform the above method for detecting a fault of a gearbox according to an embodiment of the present disclosure.
[0009] According to the method and device for detecting gearbox faults disclosed in the present invention, the accuracy of gearbox fault detection can be improved and the impact of noise on gearbox fault detection can be reduced by dividing the detection data into multiple groups of sub-band data and determining the fault status of the gearbox through each group of sub-band data. BRIEF DESCRIPTION OF THE DRAWINGS
[0010] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.
[0011] FIG1 shows a flow chart of a method for detecting a fault of a gearbox according to an exemplary embodiment of the present disclosure.
[0012] FIG2 shows a flowchart of a method for detecting a fault of a gearbox according to another exemplary embodiment of the present disclosure.
[0013] FIG3 shows a flowchart of a method for detecting a fault of a gearbox according to another exemplary embodiment of the present disclosure.
[0014] FIG4 shows a flowchart of a method for detecting a fault of a gearbox according to another exemplary embodiment of the present disclosure.
[0015] FIG5 shows a flowchart of a method for detecting a fault of a gearbox according to another exemplary embodiment of the present disclosure.
[0016] FIG6 shows a block diagram of an apparatus for detecting a fault of a gearbox according to an exemplary embodiment of the present disclosure. DETAILED DESCRIPTION
[0017] The features and exemplary embodiments of various aspects of the present invention will be described in detail below. In the detailed description below, many specific details are proposed to provide a comprehensive understanding of the present invention. However, it will be apparent to those skilled in the art that the present invention can be implemented without the need for some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the present invention. The present invention is by no means limited to any specific configuration and algorithm proposed below, but covers any modification, replacement, and improvement of elements, components, and algorithms without departing from the spirit of the present invention. In the accompanying drawings and the following description, known structures and techniques are not shown to avoid causing unnecessary ambiguity to the present invention.
[0018] FIG1 shows a flow chart of a method for detecting a fault of a gearbox according to an exemplary embodiment of the present disclosure.
[0019] The gearbox here can be the gearbox of any device having a power transmission system. For example, the gearbox can be the gearbox of a vehicle traveling on the road.
[0020] 1 , in step S110 , detection data of the gearbox is acquired.
[0021] In one embodiment, the detection data may be vibration data or sound data. For example, the detection data may be vibration data detected by an acceleration sensor of a gearbox, or sound data detected by a microphone of a gearbox. For example, the detection data may be data measured from the gearbox as the vehicle travels, i.e., measurement data in the time domain.
[0022] In step S120 , the detection data is divided into multiple groups of sub-band data, where each group of sub-band data corresponds to a frequency band.
[0023] In one embodiment, in step S120 , the detection data may be divided into multiple groups of sub-band data in multiple frequency bands according to a predetermined octave within a predetermined frequency range.
[0024] As an example, in order to effectively divide the detection data regardless of whether it is vibration data or sound data, the above predetermined frequency range can be set to a frequency range of 20Hz to 20KHz, and the above predetermined octave can be set to 1 / 3 octave. In this case, the detection data can be divided into 31 groups of sub-band data corresponding to 31 frequency bands, and the lower limit cutoff frequency f of each frequency band is 1 / 3 octave. n and the upper cutoff frequency f n+1 The following equation is satisfied:
[0025] f n+1 =2 1 / 3 f n
[0026] For example, the detection data may be filtered using filters corresponding to the respective frequency bands to obtain groups of sub-band data for the respective frequency bands. It should be understood that the frequency ranges and octaves used to divide the detection data are merely examples, and any other frequency ranges and octaves may be set as needed.
[0027] In this way, the influence of noise (for example, noise generated by the road and the vibration of the vehicle body during driving) on the fault detection of the gearbox can be reduced.
[0028] In step S130 , a feature value of each set of sub-band data among the multiple sets of sub-band data is obtained.
[0029] Here, the characteristic value may be any characteristic value that can indicate the health state (fault state) of the gearbox.
[0030] In step S140 , it is determined whether the gearbox is faulty based on all acquired characteristic values.
[0031] Since the characteristic values acquired in step S130 can indicate the health status of the gearbox, each characteristic value can be used in step S140 to determine whether the gearbox fails.
[0032] According to the method for detecting gearbox faults disclosed in the present invention, the accuracy of gearbox fault detection can be improved and the impact of noise on gearbox fault detection can be reduced by dividing the detection data into multiple groups of sub-band data and determining the fault status of the gearbox through each group of sub-band data.
[0033] FIG2 shows a flowchart of a method for detecting a fault of a gearbox according to another exemplary embodiment of the present disclosure.
[0034] 1 and 2 , steps S110 , S120 and S140 in FIG. 2 are respectively the same as steps S110 , S120 and S140 in FIG. 1 , except that an example of step S130 in FIG. 1 is shown in detail in steps S131 , S132 and S133 in FIG. 2 .
[0035] In step S131 , the envelope of each group of sub-band data in the time domain may be detected to obtain envelope data of each group of sub-band data.
[0036] In one embodiment, Hilbert transform may be performed on each group of sub-band data to detect the envelope of the group of sub-band data to obtain its envelope data.
[0037] In step S132 , a fast Fourier transform may be performed on the envelope data of each group of sub-band data to obtain frequency domain sub-band data of each group of sub-band data.
[0038] Here, because the envelope data of each group of sub-band data is subjected to a fast Fourier transform, the frequency domain sub-band data obtained for each group of sub-band data can be distributed within a relatively low frequency band, facilitating subsequent processing. For example, in the case where the detection data is divided into 31 groups of sub-band data in 31 frequency bands according to 1 / 3 octaves within the frequency range of 20 Hz to 20 kHz, the frequency domain sub-band data for each group of sub-band data obtained in step S132 can be distributed within a frequency range of several hertz to several hundred hertz.
[0039] In step S133, the modulation frequency corresponding to the frequency domain sub-band data of each group of sub-band data may be obtained. Here, the modulation frequency is the frequency with the maximum amplitude on the amplitude-frequency curve corresponding to the frequency domain sub-band data.
[0040] For example, after obtaining the frequency domain sub-band data of each group of sub-band data, an amplitude-frequency curve corresponding to the frequency domain sub-band data can be obtained, with the horizontal axis being frequency and the vertical axis being amplitude. Then, the frequency with the largest amplitude on the amplitude-frequency curve can be determined as the modulation frequency.
[0041] The modulation frequencies obtained above can be characteristic values of the corresponding sub-band data. Subsequently, in step S140, whether a gearbox failure has occurred can be determined based on the modulation frequencies of each sub-band data set. An example of determining whether a gearbox failure has occurred based on the modulation frequencies is described below with reference to FIG3 .
[0042] FIG3 shows a flowchart of a method for detecting a fault of a gearbox according to another exemplary embodiment of the present disclosure.
[0043] 2 and 3 , steps S110 , S120 and S130 in FIG. 3 are respectively the same as steps S110 , S120 and S130 in FIG. 2 , except that FIG. 3 illustrates an example of step S140 in FIG. 2 in detail with steps S141 , S142 and S143 .
[0044] 3 , in step S141 , it may be determined whether there is a faulty modulation frequency among all acquired modulation frequencies. Here, the faulty modulation frequency may be a modulation frequency that is the same as a faulty frequency in a predetermined faulty frequency set.
[0045] In one embodiment, step S141 may include: determining the rotational speed of the gearbox; acquiring a fault frequency set corresponding to the rotational speed; and determining whether there is a fault modulation frequency identical to a fault frequency in the fault frequency set among all acquired modulation frequencies.
[0046] For example, different fault frequency sets corresponding to different gearbox rotational speeds may be pre-stored. After determining the gearbox rotational speed when the test data is obtained, the fault frequency set corresponding to that rotational speed may be retrieved. Furthermore, based on the retrieved fault frequency set, it may be determined whether a faulty modulation frequency exists among the modulation frequencies corresponding to each set of sub-band data.
[0047] In the case where it is determined in step S141 that a faulty modulation frequency exists ("Yes" in FIG3 ), step S142 may be executed to determine whether a gearbox fault occurs.
[0048] In the case where it is determined in step S141 that there is no faulty modulation frequency (“No” in FIG. 3 ), step S143 may be executed to determine that there is no fault in the gearbox.
[0049] Here, in the case of determining that a gearbox fault occurs, in order to further detect the fault, in one embodiment, the method for detecting a gearbox fault according to the present disclosure may also include: determining a frequency band corresponding to the fault modulation frequency, which frequency band is a frequency band among multiple frequency bands into which multiple groups of sub-band data are divided; and determining the location where the gearbox fault occurs based on the frequency band.
[0050] For example, when a fault occurs in the gears of a gearbox and the various components of the gearbox bearing (for example, the outer ring, the inner ring, the roller, etc.), vibrations or sound signals in different frequency bands will be generated. Therefore, the fault location of the gearbox can be determined by determining the frequency band of the sub-band data corresponding to the fault modulation frequency determined in step S141.
[0051] In addition, in order to further accurately detect the state of the gearbox (regardless of whether the gearbox has been detected to be faulty), the method for detecting gearbox faults according to the present disclosure can also further determine the "roughness" of the detection data used to indicate the degree of gearbox fault, as shown in Figure 4 below.
[0052] FIG4 shows a flowchart of a method for detecting a fault of a gearbox according to another exemplary embodiment of the present disclosure.
[0053] 3 and 4 , steps S110 , S120 and S140 in FIG. 4 are respectively the same as steps S110 , S120 and S140 in FIG. 3 , except that step S130 in FIG. 4 further includes step S134 , and FIG. 4 further includes step S150 .
[0054] In step S134, the modulation depth corresponding to the frequency domain sub-band data of each group of sub-band data can be obtained. Here, the modulation depth can be the sum of the amplitude of the modulation frequency and the amplitude of the multiplication frequency of the modulation frequency on the above amplitude-frequency curve.
[0055] For example, after obtaining the amplitude-frequency curve corresponding to the frequency-domain sub-band data for each set of sub-band data and obtaining the frequency with the maximum amplitude on the amplitude-frequency curve (i.e., the modulation frequency), frequencies twice, three times, ..., and m times the frequency can be obtained, and the sum of the amplitudes of these frequencies can be obtained as the modulation depth. For example, m can be any value set as needed, such as m=5. It should be understood that the above values are merely examples and can be set to any value as needed.
[0056] In step S150 , the roughness of the detection data may be determined based on all the acquired modulation frequencies and all the acquired modulation depths, where the roughness indicates the degree of fault of the gearbox.
[0057] In one embodiment, roughness can be expressed by the following equation:
[0058]
[0059] R VA is the roughness, k is a constant coefficient determined according to the working conditions of the gearbox (for example, for a vehicle gearbox, k can be set to 0.25 under normal driving conditions of the vehicle), f i is the modulation frequency corresponding to the i-th group of sub-band data, ΔL i is the modulation depth corresponding to the i-th group of sub-band data, N is the total number of multiple groups of sub-band data, i and N are both integers, and 1≤i≤N.
[0060] The roughness R determined as above VA , the degree of gearbox failure can be determined. For example, in the case of a gearbox failure, the roughness R VA The larger the roughness R is, the more serious the gearbox failure is. In addition, when the gearbox is not faulty, the fault degree can indicate the tendency of the gearbox to fail. For example, the roughness R VA The larger the roughness R is, the greater the tendency of the gearbox to fail. VA It can indicate the impact degree of the vibration signal or sound signal of the gearbox.
[0061] Thereby, the condition of the gearbox can be determined more precisely.
[0062] Furthermore, as an alternative embodiment, the “roughness” of the detection data may be used to determine whether a gearbox failure occurs, as shown in FIG5 below.
[0063] FIG5 shows a flowchart of a method for detecting a fault of a gearbox according to another exemplary embodiment of the present disclosure.
[0064] 4 and 5 , steps S110 , S120 , and S130 in FIG5 are respectively the same as steps S110 , S120 , and S130 in FIG4 , except that: in FIG5 , step S150 of determining the roughness is performed after step S130 , and then in step S140 , it is determined whether the gearbox is faulty based on the determined roughness.
[0065] Here, the operation performed in step S150 may be the same as the operation performed in step S150 described in FIG. 4 , and will not be described in detail here.
[0066] After determining the roughness, in step S140, for example, the determined roughness may be compared with a predetermined fault threshold. If the roughness is less than the fault threshold, the gearbox may be determined to be healthy. If the roughness is equal to or greater than the fault threshold, the gearbox may be determined to be faulty. The fault threshold may be set to different values depending on the device in which the gearbox is installed and / or the operating conditions of the gearbox.
[0067] In addition, after determining whether the gearbox has a fault as described above, the degree of the fault may be further determined based on the magnitude of the roughness value as described above.
[0068] In addition, it should be understood that in this embodiment, it is also possible to determine whether a faulty modulation frequency occurs according to each modulation frequency as described above, and determine the fault location according to the frequency band corresponding to the faulty modulation frequency.
[0069] FIG6 shows a block diagram of an apparatus for detecting a fault of a gearbox according to an exemplary embodiment of the present disclosure.
[0070] As shown in FIG6 , the apparatus 100 for detecting a fault of a gearbox according to an embodiment of the present disclosure includes a data acquiring unit 110 , a data dividing unit 120 , a feature value acquiring unit 130 , and a fault determining unit 140 .
[0071] Specifically, the acquiring unit 110 is configured to acquire detection data of the gearbox.
[0072] In one embodiment, the detection data may be vibration data or sound data. As an example, the detection data is detection data in the time domain.
[0073] The data dividing unit 120 is configured to divide the detection data into a plurality of groups of sub-band data.
[0074] In one embodiment, the data dividing unit 120 may divide the detection data into a plurality of groups of sub-band data in a plurality of frequency bands according to a predetermined octave within a predetermined frequency range.
[0075] In one example, the predetermined frequency range is a frequency range of 20 Hz to 20 kHz, and the predetermined octave is a 1 / 3 octave.
[0076] The feature value acquiring unit 130 is configured to acquire a feature value of each set of sub-band data among the multiple sets of sub-band data.
[0077] In one embodiment, the feature value acquisition unit 130 may be configured to: detect the envelope of each set of sub-band data in the time domain to obtain envelope data of each set of sub-band data; perform a fast Fourier transform on the envelope data of each set of sub-band data to obtain frequency domain sub-band data of each set of sub-band data; and obtain a modulation frequency corresponding to the frequency domain sub-band data of each set of sub-band data. Here, the modulation frequency is the frequency having the maximum amplitude on the amplitude-frequency curve corresponding to the frequency domain sub-band data.
[0078] In addition, in one embodiment, the characteristic value acquisition unit 130 may be further configured to obtain a modulation depth corresponding to the frequency domain sub-band data of each group of sub-band data. Here, the modulation depth is the sum of the amplitude of the modulation frequency on the amplitude-frequency curve and the amplitude of a predetermined multiple of the modulation frequency.
[0079] The fault determination unit 140 is configured to determine whether the gearbox has a fault according to all acquired characteristic values.
[0080] In one embodiment, the fault determination unit 140 can be configured to: determine whether there is a fault modulation frequency among all the acquired modulation frequencies, the fault modulation frequency being a modulation frequency that is the same as a fault frequency in a predetermined fault frequency set; and determine that a gearbox fault occurs if there is a fault modulation frequency.
[0081] In one embodiment, the fault determination unit 140 can be configured to determine whether there is a fault modulation frequency among all the acquired modulation frequencies as follows: determine the rotational speed of the gearbox; obtain a set of fault frequencies corresponding to the rotational speed; and determine whether there is a fault modulation frequency among all the acquired modulation frequencies that is the same as the fault frequency in the set of fault frequencies.
[0082] In one embodiment, the fault determination unit 140 may be further configured to: determine a frequency band corresponding to the fault modulation frequency when there is a fault modulation frequency, which is a frequency band among multiple frequency bands; and determine a location where the gearbox fault occurs based on the frequency band.
[0083] Furthermore, in one embodiment, the fault determination unit 140 may be further configured to determine the roughness of the detection data based on all acquired modulation frequencies and all acquired modulation depths, where the roughness indicates the degree of the gearbox fault.
[0084] In other words, the apparatus 100 for detecting a fault of a gearbox according to an embodiment of the present disclosure may perform the method for detecting a fault of a gearbox according to an embodiment of the present disclosure described above with reference to FIG. 1 to FIG. 5 .
[0085] The detection data, the division of the detection data, the acquisition of characteristic values, and the determination of the gearbox fault have been described in detail above with reference to FIG. 1 to FIG. 5 , and will not be repeated here.
[0086] According to the device for detecting gearbox faults disclosed in the present invention, the accuracy of gearbox fault detection can be improved and the influence of noise on gearbox fault detection can be reduced by dividing the detection data into multiple groups of sub-band data and determining the fault status of the gearbox through each group of sub-band data.
[0087] According to an embodiment of the present disclosure, there is further provided a computer-readable medium storing instructions. When the instructions are executed by a processor, the processor may execute the method for detecting a fault of a gearbox according to the embodiment of the present disclosure.
[0088] It should be understood that the present invention is not limited to the specific configurations and processes described above and illustrated in the figures. For the sake of brevity, a detailed description of known methods is omitted. In the above embodiments, several specific steps are described and illustrated as examples. However, the method of the present invention is not limited to the specific steps described and illustrated. Those skilled in the art may make various changes, modifications, and additions, or change the order of the steps after understanding the spirit of the present invention.
[0089] The functional blocks shown in the above-described block diagram can be implemented as hardware, software, firmware or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in unit, a function card, etc. When implemented in software, the elements of the present invention are programs or code segments that are used to perform the required tasks. The program or code segment can be stored in a machine-readable medium, or transmitted on a transmission medium or a communication link by a data signal carried in a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROMs, flash memories, erasable ROMs (EROMs), floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, radio frequency (RF) links, etc. The code segment can be downloaded via a computer network such as the Internet, an intranet, etc.
[0090] It should also be noted that the exemplary embodiments described herein describe methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the steps described above. In other words, the steps may be performed in the order described in the embodiments, or in a different order, or several steps may be performed simultaneously.
[0091] The above description is only a specific embodiment of the present invention. Those skilled in the art will clearly understand that for the convenience and brevity of description, the specific working processes of the systems, modules and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. It should be understood that the protection scope of the present invention is not limited to this. Any person skilled in the art can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention.
Claims
1. A method for detecting a fault in a gearbox, comprising: Acquiring detection data of the gearbox; Dividing the detection data into multiple groups of sub-band data; Obtaining a characteristic value of each group of sub-band data in the multiple groups of sub-band data; as well as It is determined whether the gearbox fails according to all the acquired characteristic values.
2. The method according to claim 1, wherein Dividing the detection data into a plurality of groups of sub-band data includes: The detection data is divided into a plurality of groups of sub-band data in a plurality of frequency bands according to a predetermined octave within a predetermined frequency range.
3. The method according to claim 2, wherein: The detection data is detection data in the time domain, The step of obtaining the characteristic value of each set of sub-band data in the plurality of sets of sub-band data includes: detecting the envelope of each group of sub-band data in the time domain to obtain envelope data of each group of sub-band data; Performing fast Fourier transform on the envelope data of each group of sub-band data to obtain frequency domain sub-band data of each group of sub-band data; and A modulation frequency corresponding to the frequency domain sub-band data of each group of sub-band data is obtained, wherein the modulation frequency is a frequency having a maximum amplitude on an amplitude-frequency curve corresponding to the frequency domain sub-band data.
4. The method according to claim 3, wherein: Determining whether the gearbox is faulty based on all acquired characteristic values includes: determining whether there is a fault modulation frequency among all the acquired modulation frequencies, wherein the fault modulation frequency is a modulation frequency that is the same as a fault frequency in a predetermined fault frequency set; and In the presence of the faulty modulation frequency, it is determined that the gearbox is faulty.
5. The method according to claim 4, wherein Determining whether there is a faulty modulation frequency among all acquired modulation frequencies includes: determining a rotational speed of the gearbox; Acquire a fault frequency set corresponding to the rotational speed; and It is determined whether there is a fault modulation frequency, among all the acquired modulation frequencies, which is the same as the fault frequency in the fault frequency set.
6. The method according to claim 4, further comprising: In the case where the fault modulation frequency exists, determining a frequency band corresponding to the fault modulation frequency, wherein the frequency band is a frequency band among the multiple frequency bands; and A location where a fault of the gearbox occurs is determined based on the frequency band.
7. The method according to claim 3, wherein: Obtaining the characteristic value of each group of sub-band data in the multiple groups of sub-band data further includes: A modulation depth corresponding to the frequency domain sub-band data of each group of sub-band data is obtained, wherein the modulation depth is the sum of the amplitude of the modulation frequency on the amplitude-frequency curve and the amplitudes of a predetermined number of multiple frequencies of the modulation frequency.
8. The method according to claim 7, further comprising: The roughness of the detection data is determined based on all acquired modulation frequencies and all acquired modulation depths, wherein the roughness indicates a fault degree of the gearbox.
9. The method according to claim 8, wherein The roughness is expressed by the following equation: Among them, R VA is the roughness, k is a constant coefficient determined according to the working conditions of the gearbox, f i is the modulation frequency corresponding to the i-th group of sub-band data, ΔL i is the modulation depth corresponding to the i-th group of sub-band data, N is the total number of the multiple groups of sub-band data, i and N are both integers, and 1≤i≤N.
10. A device for detecting a fault in a gearbox, comprising: a data acquisition unit, configured to acquire detection data of the gearbox; a data dividing unit, configured to divide the detection data into a plurality of groups of sub-band data; a characteristic value obtaining unit configured to obtain a characteristic value of each group of sub-frequency band data in the multiple groups of sub-frequency band data; as well as The fault determination unit is configured to determine whether the gearbox has a fault according to all acquired characteristic values.
11. The device according to claim 10, wherein The data partitioning unit is configured to: The detection data is divided into a plurality of groups of sub-band data in a plurality of frequency bands according to a predetermined octave within a predetermined frequency range.
12. The device according to claim 11, wherein The detection data is detection data in the time domain, Wherein, the characteristic value acquisition unit is configured as follows: detecting the envelope of each group of sub-band data in the time domain to obtain envelope data of each group of sub-band data; Performing fast Fourier transform on the envelope data of each group of sub-band data to obtain frequency domain sub-band data of each group of sub-band data; and A modulation frequency corresponding to the frequency domain sub-band data of each group of sub-band data is obtained, wherein the modulation frequency is a frequency having a maximum amplitude on an amplitude-frequency curve corresponding to the frequency domain sub-band data.
13. The device according to claim 12, wherein The fault determination unit is configured to: determining whether there is a fault modulation frequency among all the acquired modulation frequencies, wherein the fault modulation frequency is a modulation frequency that is the same as a fault frequency in a predetermined fault frequency set; and In the presence of the faulty modulation frequency, it is determined that the gearbox is faulty.
14. The device according to claim 13, wherein The fault determination unit is configured to determine whether there is a faulty modulation frequency among all the acquired modulation frequencies as follows: determining a rotational speed of the gearbox; Acquire a fault frequency set corresponding to the rotational speed; as well as It is determined whether there is a fault modulation frequency, among all the acquired modulation frequencies, which is the same as the fault frequency in the fault frequency set.
15. The apparatus according to claim 13, wherein the fault determination unit is further configured to: In the case where the fault modulation frequency exists, the frequency band corresponding to the fault modulation frequency is determined, wherein: The frequency band is a frequency band among the multiple frequency bands; as well as A location where a fault of the gearbox occurs is determined based on the frequency band.
16. The device according to claim 12, wherein The characteristic value acquisition unit is further configured to: A modulation depth corresponding to the frequency domain sub-band data of each group of sub-band data is obtained, wherein the modulation depth is the sum of the amplitude of the modulation frequency on the amplitude-frequency curve and the amplitudes of a predetermined number of multiple frequencies of the modulation frequency.
17. The apparatus according to claim 16, wherein the fault determination unit is further configured to: The roughness of the detection data is determined based on all the acquired modulation frequencies and all the modulation depths, wherein: The roughness indicates a degree of failure of the gearbox.