摘要
分别阐述了如何结合模糊理论来建立单征兆域单故障诊断、单征兆域多故障诊断及多征兆域多故障诊断等3种典型的诊断模糊神经网络.给出了在实际应用中针对特定问题来建立符合应用需求的诊断模糊神经网络的一般思路,对建立基于神经网络的故障诊断系统具有参考价值和指导作用.
This paper gives the way of using fuzzy theory to establish ANN （artificial neural network） for single-fault and multi-faults diagnosis based on one set of symptoms and multifautt diagnosis based on more sets of symptoms, respectively. In addition, each ANN established here is a typical kind of fuzzy neural networks for fault diagnosis. The paper sets forth how to establish an available fault diagnosis system based on ANN while in practice, therefore,it may have some extent reference values and may be instructive in fault diagnosis field to construct fault diagosis system based on ANN.
出处
《广东工业大学学报》
CAS
2006年第4期60-63,81,共5页
Journal of Guangdong University of Technology
关键词
人工神经网络
故障诊断
模糊理论
模糊神经网络
artificial neural network （ANN）
fault diagnosis
fuzzy theory
fuzzy neural network
