Title: A vibration fault diagnosis method for vehicle bearings based on acoustic sensing technology

Authors: Jiajia Li; Zhoubohan Liu; Gengming Xie

Addresses: Department of Vehicle Engineering, Hunan Biological and Electromechanical Polytechnic, Changsha, 410127, China ' Department of Vehicle Engineering, Hunan Biological and Electromechanical Polytechnic, Changsha, 410127, China ' State Grid Hunan Electric Power Company Limited, Changsha, 410029, China

Abstract: To improve the diagnostic sensitivity of vibration faults of removed bearings, the paper proposes a diagnostic method based on acoustic sensing technology. Firstly, a capacitive sound pressure sensor is used to collect vibration signals of vehicle bearings and perform denoising processing to calculate the modal component change rate of bearing vibration displacement. Then, based on the vibration measurement characteristics, the types of vehicle bearing vibration faults are divided. Finally, extract the features of the fault vibration signal, calculate the frequency deviation of the fault centre, and then diagnose the area where the fault signal is located based on the fuzzy membership degree between the fault signal and the normal signal. Experiment shows that the signal-to-noise ratio of the fault vibration signal obtained by this method is maintained at around 95 dB, and the diagnostic sensitivity is between 0.92 and 0.98, indicating that the method has achieved the design goal.

Keywords: vehicles; bearing vibration; vibration fault; capacitive sound pressure sensor; wavelet transform; frequency deviation of fault centre; fault diagnosis.

DOI: 10.1504/IJMPT.2024.143243

International Journal of Materials and Product Technology, 2024 Vol.68 No.3/4, pp.259 - 272

Received: 20 Oct 2023
Accepted: 28 Feb 2024
Published online: 11 Dec 2024 *

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