Bearing faults diagnosis using fuzzy expert system relying on an Improved Range Overlaps and Similarity method
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference37 articles.
1. An efficient statistical feature selection approach for classification of gene expression data;Chandra;Journal of Biomedical Informatics,2011
2. Fault diagnosis based on dependent feature vector and probability neural network for rolling element bearings;Chen;Applied Mathimatics and Computation,2014
3. Methodology for fault detection in induction motors via sound and vibration signals;Delgado-Arredondo;Mechanical Systems and Signal Processing,2017
4. Novel method for early bearing fault detection based on dynamic stability measure;Diaz,2015
5. Stability-based system for bearing fault early detection;Diaz;Expert Systems with Applications,2017
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