Application of Fuzzy Neural Network in Fault Diagnosis of Hydraulic System

摘要：

Hydraulic system is a complex mechanical-electronichydraulic system, its faults have multiple, uncertain and hidden features. Through embedding sensors in the hydraulic system, the paper can real-time monitor the status of the system. At the same time, through making full use of information processing capability of fuzzy theory and self-learning and function approximation capability of neural network, the paper could integrate the state parameters and diagnose faults of hydraulic system. With simulation example, the paper can find that application of fuzzy neural network in fault diagnosis of hydraulic system has advantages of simple operation, high reliability and high automatization.

关键词： fuzzy neural network hydraulic system fault diagnosis

作者: Li Zhang Yong Zhao Yihe Xu

作者单位: No.7 Department, Naval Aeronautical and Astronautical University, Yantai Shandong, China Graduate Students Brigade, Naval Aeronauticaland Astronautical University, Yantai Shandong, China No.7 Department, Naval Aeronautical and Astronautical University, Yantai handong, China

会议类型: 国际会议

会议名称: 2011 International Conference on Electronic & Mechanical Engineering and Information Technology(EMEIT 2011)(2011年机电工程与信息技术国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 1237-1240

在线出版日期: 2011-08-12（万方平台首次上网日期，不代表论文的发表时间）