Application of ANN in Hydraulic Pressure Control Fault Diagnosis System
The existing hydraulic pressure control fault diagnosis system is effective on fault detection,but the fault isolation capability is bad.In order to improve the capability of the fault isolation,the artificial neural network (ANN) is used in the fault diagnosis system.Aimed at the representative diagnosis of the hydraulic pressure control system,the three layers feedback network is adopted,the basic theory of conjugate gradient BP neural network is explained in detail,and the key techniques are introduced.Five types of typical faults of hydraulic pressure control system can be distinguished easily by it,the faults diagnosis efficiency is higher 30% than ever and the fault diagnosis capability is better 80% than before.
ANN fault diagnosis fault isolation Hydraulic pressure control system feedback
Zhang Xiaoyu Ding Lili
The Department of Aeronautics Ammunition Engineer The First Aeronautics College of Air Force Xinyang,Henan,China
国际会议
杭州
英文
2592-2595
2013-03-22（万方平台首次上网日期，不代表论文的发表时间）