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

摘要/Abstract

摘要：

针对机械系统运行状态监测问题,文中提出了一种基于宽带谱处理的机械系统故障检测方法。该方法基于干扰噪声抑制和声纹比对技术,根据干扰噪声源的特点,采用自相关去噪与小波去噪相结合的方法,对干扰噪声进行了有效的抑制。在此基础上,采用欧式距离分类器对采集到的声纹信号进行分类判决,从而更好地对机械系统故障声纹信号进行检测、提取和识别,实现了对机械系统运行状态的监测和故障检测。通过数值仿真对文中所提故障检测方法进行验证,仿真结果表明文中所提故障检测方法具有良好的检测性能。

关键词: 宽带谱, 机械系统, 故障检测, 噪声抑制, 声纹比对, 自相关去噪, 小波去噪, 欧氏距离分类器

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

中图分类号:

TP277

白兴宇,华生辉,姜煜,张敏. 一种基于宽带谱处理的机械系统故障检测方法[J]. 电子科技, 2021, 34(12): 25-29.

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.

图/表 4

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