文献类型：会议论文

英文题名：Fault Diagnosis of Oil Pump Based on High Speed and Precise Genetic Algorithm Neural Network

作者：Gao, Meijuan[1,2];Tian, Jingwen[1,2];Cao, Liting[1];Xu, Jin[2]

第一作者：Gao, Meijuan;高美娟

通讯作者：Gao, MJ[1]

机构：[1]Beijing Union Univ, Dept Automat Control, Beijing, Peoples R China;[2]Beijing Univ Chem Technol, Sch Informat Sci, Beijing, Peoples R China

第一机构：北京联合大学城市轨道交通与物流学院

通讯机构：[1]corresponding author), Beijing Union Univ, Dept Automat Control, Beijing, Peoples R China.|[1141751]北京联合大学城市轨道交通与物流学院;[11417]北京联合大学;

会议论文集：IEEE International Conference on Cybernetic Intelligent Systems (CIS 2008)

会议日期：SEP 21-24, 2008

会议地点：Chengdu, PEOPLES R CHINA

语种：英文

外文关键词：genetic algorithms; neural network; oil pump; fault diagnosis

摘要：Considering the issues that the relationship between the fault of oil pump existent and fault information is a complicated and nonlinear system, and it is very difficult to found the process model to describe it. According to the physical circumstances of oil pump, a fault diagnosis method of oil pump based on high speed and precise genetic algorithm neural network is presented in this paper. The high speed and precise genetic algorithm neural network is combined the adaptive and floating-point code genetic algorithm with BP which has higher accuracy and faster convergence speed. With the ability of strong self-learning and function approach and fast convergence rate of high speed and precise genetic algorithm neural network, the diagnosis method can truly diagnose the fault of oil pump by learning the fault information of oil pump. The real diagnosis results show that this method is feasible and effective.