Electric and Hydraulic Servo Actuator Fault Diagnosis based on Genetic Optimization Neural Network
(0) To resolve the complexity and uncertainty between the fault portent and the causes of electric and hydraulic actuator, a fault diagnosis model base on neural network arithmetic for actuator is designed. The genetic optimization arithmetic is used to initialize the value of weight and bias to improve the search efficiency and global convergence of the network. The simulation result indicate the feasibility and validity of the method based on genetic neural network model to diagnose the faults of electric and hydraulic servo actuator.
neural network genetic arithmetic actuator fault diagnosis.
Chen Yinchao Yang Wei
College of Aeronautics, Northwestern Polytechnical University, Xian, 710072, China
国际会议
大连
英文
1007-1010
2011-10-19（万方平台首次上网日期，不代表论文的发表时间）