INDUCTION MOTOR ROTOR FAULT ANALYSIS USING AI TECHNIQUE
Alt Text: Induction Motor Rotor Fault Analysis Using AI Technique
Title: Induction Motor Rotor Fault Analysis Using AI and Image Processing
Caption: AI-Based Fault Detection in Induction Motors
Description: Discover how clustering-based image processing and AI techniques revolutionize rotor fault analysis in induction motors, enhancing maintenance and safety.
Keywords: Artificial Intelligence, Induction motors, rotor faults, image processing, spectrum analysis
International Journal of Engineering and Techniques – Volume 11 Issue 1, February 2025
Mr. Shashikant Shivaji Patil1, Dr. E. Vijay Kumar2
1,2Department of Electrical Engineering, RKDF IST, SRK University, Bhopal, India
Email: shashi10patil@gmail.com, drvijaykumareda03@gmail.com
Abstract
Automatic fault detection techniques play a crucial role in improving safety and reducing maintenance costs. This paper explores clustering-based image processing for diagnosing broken rotor faults in induction motors. Key symptoms include noise during operation, decreased accuracy, and vibration. Using image processing, spectrum analysis converts raw signals into actionable decision information, enhancing fault classification and maintenance practices…
Keywords
Artificial Intelligence, Induction motors, rotor faults, image processing, spectrum analysis
How to Cite
Shashikant Shivaji Patil, E. Vijay Kumar, “Induction Motor Rotor Fault Analysis Using AI Technique,” International Journal of Engineering and Techniques, Volume 11, Issue 1, February 2025. ISSN 2395-1303
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