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

被引：0
|
作者：
Li, Heqing [1 ]
Tan, Qing [2 ]
机构：
[1] Changsha Univ Sci & Technol, Sch Automobile & Mech Engn, Changsha, Hunan, Peoples R China
[2] Cent S Univ, Sch Mech & Elect Engn, Changsha, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, VOL I | 2009年
关键词：
Bp algorithm; Neural network; hydraulic system; fault diagnosis;
D O I：
10.1109/ICMTMA.2009.290
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The structure and algorithm of BP neural net were described, the reatization process of the fault diagnosis of hydraulic 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.
引用
收藏
页码：697 / 699
页数：3
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