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Due to complexity and diversity of large rotating machinery and working conditions, timely and accurate fault diagnosis can not be guaranteed. The method and process of distributed intelligent fault diagnosis based on MAS(Multi-Agent System) are analyzed, and a hierarchical model which uses case based reasoning (CBR) method to carry out fault diagnosis in fault diagnosis expert system is proposed...
In order to improve the traditional mechanical fault diagnosis expert system, case-based reasoning (CBR) is introduced in this paper for fault diagnosis and a CBR fault diagnosis model is established. In the process of case retrieval, an improved grey correlation model is used to calculate similarity between cases. This model can accurately retrieve similar cases and improve the speed of case retrieval...
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