Neural Network Expert System in the Application of Tower Fault Diagnosis

被引：0
|
作者：
Liu, Xiaoyang [1 ]
Xia, Zhongwu [2 ]
Tao, Zhiyong [2 ]
Zhao, Zhenlian [1 ]
机构：
[1] Shenyang Ligong Univ, Sch Informat Sci & Engn, Shenyang 110159, Peoples R China
[2] Shenyang Artillery Acad, Shenyang 110162, Peoples R China
来源：
ADVANCED RESEARCH ON ELECTRONIC COMMERCE, WEB APPLICATION, AND COMMUNICATION, PT 2 | 2011年 / 144卷
关键词：
tower crane; neural network; expert system; fault diagnosis;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
For the corresponding fuzzy relationship between the fault symptoms and the fault causes in the process of tower crane operation, this paper puts forward a kind of rapid new method of fast detection and diagnosis for common fault based on neural network expert system. This paper makes full use of expert system and neural network advantages, and briefly introduces the structure, function, algorithm and realization of the adopted system. Results show that the new algorithm is feasible and can achieve rapid faults diagnosis.
引用
收藏
页码：212 / +
页数：2
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