一种复杂噪声环境下的机电系统故障在线监测声学处理方法

doi:10.16180/j.cnki.issn1007-7820.2023.03.009

Abstract

Abstract:

In view of the problem of electromechanical system fault detection under complex background noise environment, this study proposes a noise suppression and fault monitoring method based on broadband acoustic processing. This method starts from acoustic signal pick-up and processing, and establishes the voiceprint database of the normal operating state of the system by collecting, tracking the data and suppressing the complex background noise of the acoustic signal under the normal operating state of the electromechanical equipment. In addition, the proposed method further realizes the detection and classification of fault signals through the voiceprint signal matching and pattern recognition technology based on broadband acoustic processing, and then realizes the online monitoring of the operating state of the electromechanical system and the autonomous early warning of invisible faults. This processing method organically combines the autocorrelation noise suppression technology based on data tracking and the fault signal detection and classification technology based on broadband acoustic processing, which can monitor the early hidden faults of the electromechanical system and effectively solve the fault detection problem of the electromechanical system in the complex noise environment. The simulation experiment finally proves the effectiveness and good practicability of the proposed method.

Key words: complex noise environment, broadband acoustic processing, noise suppression, fault monitoring, voiceprint signal matching, pattern recognition, hidden failure, classification

CLC Number:

TP277

BAI Xingyu,GOU Yutao,JIANG Yu,LIU Mingyu. An Acoustic Treatment Method for On-Line Fault Monitoring of Electromechanical Systems in Complex Noise Environment[J].Electronic Science and Technology, 2023, 36(3): 55-61.

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References 18

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An Acoustic Treatment Method for On-Line Fault Monitoring of Electromechanical Systems in Complex Noise Environment

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