A Method of Inverter Circuit fault diagnosis based on BP Neural Network and D-S Evidence Theory

被引：5
|
作者：
Fan, Bo [1 ,2 ,3 ]
Yin, Yixin [1 ]
Fu, Cunfa [3 ]
机构：
[1] Coll Univ Beijing, Sch Informat Engn, Beijing 100083, Peoples R China
[2] Henan Univ Sci & Technol, Elect Informat Engn Coll, Luoyang 471003, Peoples R China
[3] CITIC Heavy Ind Co Ltd, Luoyang 471039, Henan Prov, Peoples R China
来源：
2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2010年
关键词：
fault diagnosis; BP neural network; D-S evidence theory; inverter;
D O I：
10.1109/WCICA.2010.5554302
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
With the study and analysis on intelligent fault diagnosis for inverting circuit, an improved diagnosis method combined BP neuron network and D-S evidence theory was proposed. Each measuring point was extracted by BP neural network to obtain the local diagnosis, which is adopted to design the belief function of D- S evidence theory. Multiple monitoring points' information is fused to receive the comprehensive global diagnosis result. The experimental results show that this method has the better feasibility and effectiveness on fault diagnosis in inverter's key components-inverting circuit.
引用
收藏
页码：2249 / 2253
页数：5
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