Research on fault diagnosis method based on PSO neural network

A new fault diagnosis method based on PSO neural network is proposed by combining PSO and BP algorithm.This method trained the neural network with two steps,the global search ability is enhanced,and the connecting weighs,thresholds and structure of neural network are optimized.Thus,it makes up the lacks of BP algorithm,eliminates the redundancy connecting,and improves the ability of fault pattern recognition.The experimental result shows that new method speeds up the convergence process,enhances the accurate rate in fault pattern recognition,and will be applied to equipments fault diagnosis effectively.