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Fault feature extraction method of automobile hub bearing based on optimal quality factor selection

A technology for automobile hubs and fault characteristics, which is applied in the testing of mechanical components, testing of machine/structural components, instruments, etc., and can solve the problem of large random selection of quality factors.

Active Publication Date: 2020-06-09
江阴智产汇知识产权运营有限公司
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Problems solved by technology

[0004] Aiming at the problem that the quality factor selection of the existing resonance sparse decomposition is arbitrarily large, the present invention proposes an automobile hub bearing fault feature extraction method based on the selection of the best quality factor of the resonance sparse decomposition, and selects the best quality factor of the resonance sparse decomposition through a successive optimization algorithm Quality factor, and then effectively decompose the low resonance component with transient impact component signal and high resonance component with harmonic component, and realize the feature extraction of automobile hub bearing fault based on the best quality factor

Method used

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  • Fault feature extraction method of automobile hub bearing based on optimal quality factor selection
  • Fault feature extraction method of automobile hub bearing based on optimal quality factor selection
  • Fault feature extraction method of automobile hub bearing based on optimal quality factor selection

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Embodiment

[0077] First, select the automobile hub bearing shown in Table 1. Then, cut a groove with a width of 0.3mm and a depth of 0.05mm on the outer ring of the bearing. Finally, install the acceleration sensor on the bearing seat to obtain the vibration signal x in the vertical direction.

[0078] Table 1 Parameters of hub bearings

[0079]

[0080] Step 1: The information collection module collects the vibration signal x of the automobile hub bearing through the acceleration sensor, and its waveform is as follows: Figure 4 shown. Sampling frequency f s It is 100kHz, the sampling time t is 0.5s, and the number of sampling points N is 50000.

[0081] Step 2: The resonance sparse decomposition parameter initialization module sets the initial resonance sparse decomposition parameter Q h = 3, r h = 3,J h =30;Q l = 1, r l = 3,J l =11.

[0082] Step 3: The quality factor is optimized successively for high and low quality factors Q h and Q l Perform optimization to find th...

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Abstract

The invention discloses a method for extracting fault features of automobile hub bearings based on optimal quality factor selection. Firstly, vibration signals are collected, then resonance sparse decomposition parameters are initialized, and then the optimal quality factor is obtained by using a successive optimization algorithm with the RSK index as the objective function. , and finally perform envelope analysis on the low-resonance components obtained by performing resonance sparse decomposition under the best quality factor of the signal to obtain the envelope spectrum, thereby effectively extracting fault features; the invention avoids the manual selection of the quality factor in the traditional resonance sparse decomposition method. For the problems of high reliability, uncertainty, and difficulty in obtaining ideal decomposition results, the best quality factor can be adaptively selected, which can effectively extract the fault characteristics of automobile wheel bearings under intermittent strong interference noise.

Description

technical field [0001] The invention belongs to the field of fault diagnosis of automobile hub bearings, and more specifically relates to a method for extracting fault features of automobile hub bearings based on optimal quality factor selection based on resonance sparse decomposition. Background technique [0002] Automobile hub bearing is one of the important parts of automobile transmission and load bearing. It bears both axial load and radial load. Its performance will directly affect the safety of automobile driving and the comfort of passengers. Due to the complex and changeable driving conditions of the car, the wheel hub bearings are often in a working environment with high loads and frequent speed changes The direction is out of control. The main cause of wheel hub bearing failure is damage to the inner ring, outer ring and rolling elements, resulting in abnormal vibration response during operation. When the hub bearing rotates past the damaged position, a periodi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M13/045G06K9/00
CPCG01M13/045G06F2218/08
Inventor 李仲兴周庄薛红涛江洪
Owner 江阴智产汇知识产权运营有限公司
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