Intelligent fault diagnosis of rotating machinery using support vector machine with ant colony algorithm for synchronous feature selection and parameter optimization

The failure of rotating machinery can result in fatal damage and economic loss since rotating machinery plays an important role in the modern manufacturing industry. The development of a reliable and efficient intelligent fault diagnosis approach is an ongoing attempt. Support vector machine (SVM) i...

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Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 167; S. 260 - 279
Hauptverfasser:	Zhang, XiaoLi, Chen, Wei, Wang, BaoJian, Chen, XueFeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.11.2015
Schlagworte:	Ant colony algorithm Intelligent fault diagnosis Roller bearing Rotating machinery Rotor Support vector machine Roller bearing Support vector machine Intelligent fault diagnosis Rotating machinery Rotor Ant colony algorithm
ISSN:	0925-2312, 1872-8286
Online-Zugang:	Volltext
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