Fault Diagnosis System for Fire Control Based on Fuzzy Neural Network
Li Qiang · Journal of North University of China · 2012
Fire control fault diagnosis system is developed to realize real-time fault detection and diagnosis.It is based on fault trend analysis and can analyze the system's functional structure and fault feature in a systematic way.The system can be used to monitor the condition,diagnosis the fault and provide the diagnostic opinion.For it has constructed by a distributed master-slave structure,the system shows better reliability and adaptability.The algorithm of diagnose based on fault trend analysis and fault sample consisted by fault symptom and fault reason have improved the accuracy of fault identification through training neural network.At last,through choose implication operator,calculate the fuzzy membership of the fault information matrix,complete judgment of fault source and fault diagnosis,and then testify the effectiveness of the algorithm in experiment.