Fault Diagnosis Method Based on PSO-optimized H-BP Neural Network

The paper combined the advantage of particle swarm optimization algorithm (PSO), the global optimizing ability of Hopfield Neural Network, and the teacher supervising features of BP neural network to construct a new equipment fault diagnosis method with higher diagnosis precision, compared with the traditional single BP neural network.