Article ID Journal Published Year Pages File Type
10322643 Expert Systems with Applications 2011 7 Pages PDF
Abstract
► The paper presents the result of fuzzy classifier with histogram features for fault diagnosis. ► The study focuses on automatic rule learning using decision tree C4.5 algorithm. ► The case study is bearing fault diagnosis using histogram features of vibration signals. ► The classification accuracy is found to be 97%.
Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
Authors
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