A Support Vector Machine approach based on physical model training for rolling element bearing fault detection in industrial environments
作者： K.C. Gryllias , I.A. Antoniadis
DOI: 10.1016/J.ENGAPPAI.2011.09.010
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摘要: A hybrid two stage one-against-all Support Vector Machine (SVM) approach is proposed for the automated diagnosis of defective rolling element bearings. The basic concept and major …
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sci-hub.se 参考文章(27)
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