Fault Diagnosis of Electromagnetic Valve Based on Bayesian Optimization and Two‐Layer Long Short‐Term Memory Neural Network
Electromagnetic valves are widely utilized in electrohydraulic control systems because of simple structure, low cost, and fast response. Accurate diagnosis of electromagnetic valve faults is crucial to ensure high effective operation of the control systems. This paper proposes a faults diagnosis model of electromagne...