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基于神经网络和D—S证据理论的综合诊断模型
引用本文:黄安雅 陈兆能. 基于神经网络和D—S证据理论的综合诊断模型[J]. 传动技术(上海), 1998, 12(3): 15-20
作者姓名:黄安雅 陈兆能
作者单位:[1]上海工程技术大学 [2]上海交通大学
摘    要:故障诊断时,在考虑经济效益的基础上应尽可能地融合多种传感器信息进行综合诊断,以求得最佳诊断结果。本文提出了神经网络和D-S证据理论相结合的综合诊断模型,实例证明该模型具有良好的适应性并能得到准确性较高的诊断结果。

关 键 词:神经网络 D-S证据理论 综合诊断 故障诊断

An Integrated Diagnosis Model based on Neural Networks and D S Evidential Reasoning
Huang Anya Chen Zhaoneng Zhu Jimei SUES SJTU USST. An Integrated Diagnosis Model based on Neural Networks and D S Evidential Reasoning[J]. Drive System Technique, 1998, 12(3): 15-20
Authors:Huang Anya Chen Zhaoneng Zhu Jimei SUES SJTU USST
Affiliation:Huang Anya * Chen Zhaoneng ** Zhu Jimei *** *SUES ** SJTU *** USST
Abstract:This paper presents an integrated diagnosis model that is based on neural networks and D S evidential reasoning, Neural networks are used for local diagnosing and D S evidential reasoning theory is adopted to integrate the local diagnosis results.An example testifies the validity of the model.
Keywords:neural networks D S evidential reasoning integrated diagnosis
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