Research on Fault Diagnosis of Fork Lift Truck Hydraulic System Based on Artificial Neural Network

摘要：

The structure and algorithm of BP neural net were described, the realization process of the fault diagnosis of hydraufic system based on BP neural net was discussed. According to the experiment and test of fault of fork lift truck hydraulic system, the BP net has better learning function, high net convergence rate and high stability of learning and memory. The diagnosis results indicate that the presented diagnosis method has high reliability and can attain the expected results, which can be applied to fault diagnosis of hydraulic system.

关键词： Bp algorithm Neural network hydraulic system fault diagnosis

作者: Heqing LI Qing TAN

作者单位: School of Automobile & Mechanical Engineering Changsha University of Science and Technology Changsha School of Mechanical and Electrical Engineering Center South University Changsha,China

会议类型: 国际会议

会议名称: 2009 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2009)(2009年检测技术与机械自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 697-699

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）