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设备故障智能诊断技术研究进展
引用本文:陈长征,白秉三,严安.设备故障智能诊断技术研究进展[J].沈阳工业大学学报,2000,22(4):349-352.
作者姓名:陈长征  白秉三  严安
作者单位:1. 沈阳工业大学建筑工程系,辽宁 沈阳 110023
2. 沈阳市房产实业二公司,辽宁 沈阳 110014
摘    要:机械是国民经济建设中不可缺少的关键设备,对其故障诊断方法的研究具有重要意义。当前机械故障诊断的关键就是寻找使诊断结果准确的方法。从故障诊断的实际出发,根据设备提供信息的多样性及故障表征形式的复杂性,分析了故障诊断技术和信息融合技术相结合的特点;阐述了故障智能诊断的过程和与其相关的应用技术的关系;论述了故障信号采集与处理,故障智能诊断方法的研究。并对今后的发展方向进行了预测。

关 键 词:故障诊断  神经网络  数据采集  信号处理
文章编号:1000-1646(2000)04-0349-04
修稿时间:1999年3月31日

Development of intelligent fault diagnosis
CHEN Chang-zheng,BAI Bing-san,YAN An.Development of intelligent fault diagnosis[J].Journal of Shenyang University of Technology,2000,22(4):349-352.
Authors:CHEN Chang-zheng  BAI Bing-san  YAN An
Abstract:Machinery is an important equipment for the citizen economic construction. It is of great significance to study the fault diagnosis method of machinery. Currently, the key point of rotating machinery fault diagnosis is diagnostic accuracy. According to particulars of fault diagnosis, information fusion technology was analyzed considering information diversity and symptom complex of machinery. The relationships between fault diagnosis and other application technology were explained. The fault signal collecting and processing method, fault diagnosis decision were reviewed. The development of intelligent method of vibration fault diagnosis for machinery has ho predicted.
Keywords:fault diagnosis  neural networks  data collection  signal processing
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