Fault Diagnosis of Electromagnetic Valve Based on Bayesian Optimization and Two‐Layer Long Short‐Term Memory Neural Network
A faults diagnosis model of electromagnetic valve based on Bayesian optimization (BO) and a two‐layer long short‐term memory (LSTM) neural network and a cross‐recurrence quantification analysis is utilized for data preprocessing to strengthen and expand the fault characteristic data of the electromagnetic valve.