International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Smart Fault Diagnosis in Induction Motors via Adaptive Centroid Fuzzy Logic |
|---|---|
| ABSTRACT | To develop a reliable diagnostic approach for induction motors (IMs) capable of identifying incipient stator winding faults under uncertain operating conditions, thereby enhancing predictive maintenance and minimizing downtime. Method: A laboratory setup was established to simulate both healthy and faulty stator conditions in a three-phase IM. Voltage and current signals were acquired and pre-processed to extract significant features. A Mamdani-type fuzzy inference system integrated with an adaptive centroid defuzzification approach was implemented in a MATLAB-based GUI for incipient fault monitoring. Findings: The proposed diagnostic framework achieved an accuracy of 99.2%, precision of 98.7%, and fault tolerance of 95.6% in detecting stator winding defects. These results demonstrate the method’s robustness and reliability under variable and noisy operating conditions. Novelty: The work introduces an optimized fuzzy-based diagnostic model combining adaptive centroid defuzzification with enhanced feature pre-processing. This integration significantly improves classification accuracy, decision sensitivity, and fault tolerance, establishing a powerful tool for intelligent predictive maintenance of induction motors. |
| AUTHOR | RAMASAMY A, SURESH D |
| PUBLICATION DATE | 2025-10-27 |
| VOLUME | 175 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1310021 |
| pdf/21_Smart Fault Diagnosis in Induction Motors via Adaptive Centroid Fuzzy Logic3.pdf | |
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