A Hybrid AI Approach for Fault Detection in Induction Motors Under Dynamic Speed and Load Operations

A Hybrid AI Approach for Fault Detection in Induction Motors Under Dynamic Speed and Load Operations

Faults in an Induction Motor (IM) can lead to unexpected downtime, resulting in considerable economic and productivity losses. From existing literature, conventional fault diagnosis approaches in an IM struggle to reliably identify fault patterns at different speeds, particularly under variable spee...

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Bibliographic Details
Main Authors: Muhammad Irfan Ishaq, Muhammad Adnan, Muhammad Ali Akbar, Amine Bermak, Nimra Saeed, Maaz Ansar
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Induction motor
fault diagnosis
acoustic signals
vibrational signals
CNN-LSTM
electro-mechanical faults
Online Access:https://ieeexplore.ieee.org/document/11015953/
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https://ieeexplore.ieee.org/document/11015953/

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