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

Table of Contents

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

INDUCTION MOTOR ROTOR FAULT ANALYSIS USING AI TECHNIQUE Download