Research of Rotating Machinery Fault Diagnosis Based on Fuzzy Neural Network And Information Fusion

被引：0
|
作者：
Mao Chun-yu [1 ]
Zhou Guang-Wen [1 ]
Xu Yu-kun [2 ]
机构：
[1] Jilin Teachers Inst Engn & Technol, Coll Mech Engn, Changchun, Peoples R China
[2] Changchun Inst Engn Technol, Inst Elect & Elect Engn, Changchun, Peoples R China
来源：
2014 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C 2014) | 2014年
关键词：
Rotation Mechanism; Fuzzy Neural Network; Information Fusion;
D O I：
10.1109/IS3C.2014.111
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 traditional method can not solve the fault diagnosis of rotating machinery fault diagnosis ambiguity problem, a different position sensor data obtained by the fuzzy neural network-based fault diagnosis model and pre-information fusion, data collection by sensor rotation mechanism of CNC equipment, by fuzzy neural network theory diagnostic techniques to predict the possible failure of the equipment locally. Finally, the partial failure of the D-S evidence theory to get the final information fusion fault information.
引用
收藏
页码：403 / 406
页数：4
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