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