Rubbing Fault Diagnosis of Rotary Machinery Based on Wavelet and Support Vector Machine

被引：5
|
作者：
Jin Zhihao [1 ]
Ji Shangwei [1 ]
Jin Wen [1 ]
Wen Bangchun [2 ]
机构：
[1] Shenyang Inst Chem Technol, Dept Mech Engn, Shenyang, Peoples R China
[2] Northeastern Univ, Coll Mech Engn & Automat, Shenyang, Peoples R China
来源：
FIRST INTERNATIONAL WORKSHOP ON DATABASE TECHNOLOGY AND APPLICATIONS, PROCEEDINGS | 2009年
基金：
中国国家自然科学基金;
关键词：
acoustic emission; rubbing fault; wavelet transform; fault diagnosis; support vector machine;
D O I：
10.1109/DBTA.2009.163
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The diagnosis method of rubbing fault in rotary machinery was investigated by support vector machine combined with wavelet transform. The rubbing fault of a rotary machine was simulated with a rubbing-block. The decomposed signals at every level were continuous for the case without rubbing fault, while the decomposed signals were bursting signals at level 1, level 2 and level 3, and continuous signals at level 4, level 5 for the case with rubbing fault. The correct rate of test samples was more than 92%, which indicated that the method can be used to identify rubbing faults effectively. The complexity of the SVM model was decreased and the calculation was simplified by using wavelet transform.
引用
收藏
页码：287 / +
页数：2
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