An Intelligent Hybrid Feature Selection Approach for SCIM Inter-Turn Fault Classification at Minor Load Conditions Using Supervised Learning

An Intelligent Hybrid Feature Selection Approach for SCIM Inter-Turn Fault Classification at Minor Load Conditions Using Supervised Learning

In industries, squirrel cage induction motors are crucial for supplying rotary motion in power tools. This research presents a robust but simple framework for an inter-turn fault classification at minor loading across diverse fault occurrence conditions, which is one of the most common defects in a...

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Bibliographic Details
Main Authors: Chibuzo Nwabufo Okwuosa, Jang-Wook Hur
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Diagnostics
squirrel cage induction motor
fault classification
turn-to-turn winding fault
machine learning
Hilbert transform
Online Access:https://ieeexplore.ieee.org/document/10101807/

Internet

https://ieeexplore.ieee.org/document/10101807/

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