An Expert System for Diagnosis of Dynamometer Cards based on the Integration of Rough Sets and Neural Network

被引：0
|
作者：
Wei, Hangxin [1 ]
Wu, Wei [1 ]
Zhi, Liguang [1 ]
机构：
[1] Xian ShiYou Univ, Sch Mech Engn, Xian, Peoples R China
来源：
PROCEEDINGS OF 2010 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND INDUSTRIAL ENGINEERING, VOLS I AND II | 2010年
关键词：
Expert system; Rough sets; Artificial neural network; Dynamometer card; Diagnosis;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In order to increase the efficiency of diagnosis for the dynamometer cards of the pumping unit, an expert system is introduced. The structure of artificial neural network (ANN) in the expert system can be simplified by using the rough sets. Firstly, the training data of the dynamometer cards are inputted into rough sets and they are classified. Next, the classified data are fed into the feedback ANN and ANN is trained according to the data. Finally, a real dynamometer card is inputted into the expert system to get the diagnostic results. Examples show that the expert system has a higher training speed than the conventional ANN. When the training target is 0.001, it converges after training 3165 times. The correct percentage of diagnosis is 91%.
引用
收藏
页码：835 / 839
页数：5
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