摘要
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，分析了信 息领域的信息融合技术．阐述了故障诊断过程和与其相关的应用技术的关系．说明了集成神经网络 故障诊断方法和集散监测诊断系统的特点．建立了基于集成神经网络的集散监测诊断系统．用两 个故障诊断实例说明了基于集成神经网络的集散监测诊断系统的先进性．
According to particulars of fault diagnosis, information fusion technology is analyzed based on information diversity and symptom complex of machinery. The relation between fault diagnosis and other application technology explained. A fault diagnosis method based on integrated neural networks and distributed monitoring diagnosis system is discussed. distributed monitoring diagnosis system based on integrated neural networks is constructed. It shows that this kind of fault diagnosis method with integrated neural networks and distributed monitoring diagnosis system is advance by means of two examples.
出处
《沈阳工业大学学报》
CAS
2000年第2期161-163,共3页
Journal of Shenyang University of Technology
关键词
故障诊断
集成神经网络
集散监测诊断系统
设备
fault diagnosis
integrated neural networks
distributed monitoring diagnosis System
