Improved Diagnostic Approach for BRB Detection and Classification in Inverter-Driven Induction Motors Employing Sparse Stacked Autoencoder (SSAE) and LightGBM

Improved Diagnostic Approach for BRB Detection and Classification in Inverter-Driven Induction Motors Employing Sparse Stacked Autoencoder (SSAE) and LightGBM

This study introduces an innovative approach to diagnostics, employing a unique combination of techniques including a stratified group K-fold cross-validation method and a sparse stacked autoencoder (SSAE) alongside LightGBM. By examining signatures derived from motor current, voltage, speed, and to...

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Bibliographic Details
Main Authors: Muhammad Amir Khan, Bilal Asad, Toomas Vaimann, Ants Kallaste
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Electronics
Subjects:
electrical machines
condition monitoring
induction motors
rotor faults
feature importance
broken rotor bars diagnosis
Online Access:https://www.mdpi.com/2079-9292/13/7/1292

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