摘要
The hydraulic servo-valve is the key component of the electrohydraulic system. But it is difficult to diagnose faults in a hydraulic servo-valve. In this paper, a Genetic Algorithm-based Artificial Neural Network model for fault diagnosis in hydraulic servo-valves is proposed. We use a known set of servo-valve faults as the outputs to the valve-behavior model. Adoption of this approach brings about the advantages of reducing training time and increasing accuracy when compared with the traditional Back Propagation Neural Network.
- 出版日期2006
- 单位武汉科技大学