基于电机驱动系统的齿轮故障诊断方法综述

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Abstract Gear fault diagnosis technology is significant in reducing casualties and economic losses caused by industrial accidents. This paper first introduces vibration diagnosis method and acoustic analysis method, and then summarizes gear fault diagnosis methods for motor drive system. Vibration diagnosis and acoustic analysis are the two commonly used methods for gear fault diagnosis, where the vibration sensor and acoustic sensor need to be installed respectively. Due to the complexity of gear transmission structure, mechanical sensors are inconvenient to be installed. Motor current signature analysis, load torque signature analysis and kinematic error estimation are non-invasive methods for motor drive system. Motor current, load torque and kinematic error signals contain gear fault information. Motor current can be obtained from the motor drive, while load torque and kinematic error can also be obtained from motor drive through estimators. Thus the requirement of mechanical sensor installation can be avoided. This paper analyzes the advantages and disadvantages of various diagnosis methods, summarizes the existing research results and the current problems, and forecasts the future research directions.

Key words： Gear fault diagnosis motor drive motor current signature analysis load torque signature analysis

Published: 03 March 2016

PACS:

TH132.41

Fund:国家科技重大专项资助项目（2012ZX04001051）

Corresponding Authors: 杨明男,1978年生,博士,教授,研究方向为交流伺服系统与智能控制。E-mail: yangming@hit.edu.cn

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	Yang Ming
	Dong Chuanyang
	Xu Dianguo

Cite this article:

Yang Ming,Dong Chuanyang,Xu Dianguo. Review of Gear Fault Diagnosis Methods Based on Motor Drive System[J]. Transactions of China Electrotechnical Society, 2016, 31(4): 58-63.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2016/V31/I4/58

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