机械设备故障诊断技术研究  

Research on Mechanical Equipment Fault Diagnosis Technology

作　　者：车立志[1] 刘倩婧[2] 

机构地区：[1]黄岛出入境检验检疫局,山东青岛266555 [2]山东科技大学交通学院,山东青岛266555

出　　处：《煤矿机械》2016年第3期3-5,共3页Coal Mine Machinery

摘　　要：总结了机械设备故障诊断技术方面的研究现状,阐述了常用故障数据采集和状态监测方法,探讨了模糊理论、神经网络、遗传算法等智能控制理论在故障诊断技术研究中的应用前景,指出了要完善信号融合技术,提高网络集成化水平,发挥智能决策诊断优势,提升容错控制水平的发展方向。Summarized the present situation and existence question of research in mechanical equipment fault diagnosis technology, and introduced the common methods in mechanical system fault data acquisition and condition monitor, and discussed the application prospect about the fuzzy theory, the neural network, the genetic algorithm and others in the diagnosis decision-making algorithm research, and finally pointed out the development direction that developing and consummating the signal extraction and processing technology, raising integration level of the network, drawing on strength of artificial intelligence theory, and Improving fault-tolerant control decision-making requirements.

关 键 词：机械设备 故障诊断 人工智能 

分 类 号：TH13[机械工程—机械制造及自动化]