Fault Diagnosis System of Electrical System Based on Classified Hierarchical Model

Abstract

In order to promote the maintenance and support capability of modern military engineering equipment under the complicated field circumstance, the fault diagnosis expert system is proposed based on neural network. The fault diagnosis characteristics of whole machine as well as the failure mode and mechanism of the electronic system are investigated in detail. Then the structure of classified hierarchical diagnosis model is studied, and the knowledge base of the fault diagnosis system is also been accomplished. The forward reasoning mechanism of the fault diagnosis expert system is bring forward based on neural network intelligent reasoning that can achieve fuzzy input and multiple fault diagnosis. This work is applied in military engineering fields. Hence it effectively enhances the fault maintenance, diagnosis and support capabilities of the military troops.