Stator Imbalance Defects Diagnosis of Induction Machine Using Thermography and Machine Learning Algorithms

Stator Imbalance Defects Diagnosis of Induction Machine Using Thermography and Machine Learning Algorithms

Identifying stator imbalance problems in induction machines (IMs) is crucial to preserving operating efficiency, reliability, and safety. This identification contributes to the IM’s overall health, prolongs its lifespan, and helps organizations meet regulatory and performance standards. M...

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Bibliographic Details
Main Authors: Abderrahman El Idrissi, Aziz Derouich, Said Mahfoud, Najib El Ouanjli, Abdelilah Byou, Fahd A. Banakhr, Mohamed I. Mosaad
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Induction machine
stator imbalance defects
thermography
statistical analysis
Gaussian naïve Bayes
Online Access:https://ieeexplore.ieee.org/document/10479500/

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