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．
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.
出处
《沈阳工业大学学报》
CAS
2000年第4期349-352,共4页
Journal of Shenyang University of Technology
关键词
故障诊断
神经网络
数据采集
信号处理
fault diagnosis
neural networks
data collection
signal processing
