PSO Algorithm Optimization of ESN Algorithm for Transformer Fault Diagnosis

To overcome the shortcomings of the echo state network (ESN) algorithm in the application of fault diagnosis, a method of optimizing the ESN neural network, the particle swarm optimization (PSO) algorithm is established, and the transformer fault diagnosis algorithm is based on PSO-ESN. Through the simulation experiment of 50 groups of training samples and 15 groups of test samples, it can be seen that the PSO-ESN algorithm can improve the accuracy of transformer fault diagnosis and effectively reduce the error accuracy of the network.