电工技术学报  2016, Vol. 31 Issue (4): 58-63    DOI:
电机与电器 |
基于电机驱动系统的齿轮故障诊断方法综述
杨明, 董传洋, 徐殿国
哈尔滨工业大学电气工程系 哈尔滨 150001
Review of Gear Fault Diagnosis Methods Based on Motor Drive System
Yang Ming, Dong Chuanyang, Xu Dianguo
Department of Electrical Engineering Harbin Institute of Technology Harbin 150001 China
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摘要 齿轮故障诊断技术对减少工业事故所造成的人员伤亡和经济损失具有重要的意义。首先介绍了振动诊断法和噪声分析法,然后重点对基于电机驱动系统的齿轮故障诊断方法做了综述。振动诊断法和噪声分析法属于常用的齿轮故障诊断方法,这两种方法分别需要安装振动传感器和声音传感器,齿轮传动机构结构紧密而且构造复杂,安装机械传感器多有不便。电机电流特征分析法、负载转矩特征分析法和运动误差辨识法是基于电机驱动系统的无创诊断方法,电机电流、负载转矩以及运动误差信号都承载有齿轮的故障信息,电机电流信号可以从电机驱动器处获得,负载转矩和运动误差信号借助于辨识器也可以从驱动器处获得,避免了安装机械传感器的需求。同时分析了各种诊断方法的优缺点,总结现有研究成果及有待解决的问题,展望了未来的研究方向。
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杨明
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关键词 齿轮故障诊断电机驱动电机电流特征分析负载转矩信号分析    
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 wordsGear    fault diagnosis    motor drive    motor current signature analysis    load torque signature analysis   
     出版日期: 2016-03-03
PACS: TH132.41  
作者简介: 董传洋 男,1991年生,硕士研究生,研究方向为交流伺服系统。E-mail: dong37003700@126.com
引用本文:   
杨明, 董传洋, 徐殿国. 基于电机驱动系统的齿轮故障诊断方法综述[J]. 电工技术学报, 2016, 31(4): 58-63. Yang Ming, Dong Chuanyang, Xu Dianguo. Review of Gear Fault Diagnosis Methods Based on Motor Drive System. Transactions of China Electrotechnical Society, 2016, 31(4): 58-63.
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