Fault Classification of Ball Bearing by Rotation Forest Technique
Author:
Publisher
Elsevier BV
Subject
General Earth and Planetary Sciences,General Environmental Science
Reference8 articles.
1. Fault diagnosis of ball bearings using machine learning methods;Kankar;Expert Systems with Applications,2011
2. Rotation forest: A New classifier ensemble method;Rodríguez;IEEE Transactions on Pattern Analysis and Machine Intelligence,2006
3. Feature extraction and fault severity classification in ball bearings;Sharma;Journal of Vibration and Control,2014
4. Bearing fault diagnosis based on multi-scale permutation entropy and adaptive neuro fuzzy classifier;Tiwari;Journal of Vibration and Control,2013
5. Vakharia V, Gupta V K, Kankar PK. A comparison of feature ranking techniques for fault diagnosis of ball bearing. Soft Computing. 2015;DOI 10.1007/s00500-015-1608-6.
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