一种基于宽带谱处理的机械系统故障检测方法

doi:10.16180/j.cnki.issn1007-7820.2021.12.005

Abstract

Abstract:

A fault detection method based on wideband spectrum processing is proposed to monitor the operation state of mechanical systems in this study. This method is based on interference noise suppression and voiceprint comparison technology. According to the characteristics of the interference noise source, the method of autocorrelation denoising and wavelet denoising is combined to effectively suppress the interference noise. On this basis, the method uses the Euclidean distance classifier to classify the collected voiceprint signals, so as to better detect, extract and identify the faulty voiceprint signals of the mechanical system, and realize the monitoring and fault detection of the operating state of the mechanical system. The proposed fault detection method is verified by numerical simulation, and the simulation results show that the fault detection method has good detection performance.

Key words: wideband spectrum, mechanical system, fault detection, noise suppression, voiceprint comparison, autocorrelation denoising, wavelet denoising, Euclidean distance classifier

CLC Number:

TP277

BAI Xingyu,HUA Shenghui,JIANG Yu,ZHANG Min. A Fault Detection Method for Mechanical System Based on Wideband Spectrum Processing[J].Electronic Science and Technology, 2021, 34(12): 25-29.

Figures/Tables 4

References 19

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A Fault Detection Method for Mechanical System Based on Wideband Spectrum Processing

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