LightGBM-Based Fault Diagnosis of Rotating Machinery Under Changing Working Conditions Using Modified Recursive Feature Elimination

LightGBM-Based Fault Diagnosis of Rotating Machinery Under Changing Working Conditions Using Modified Recursive Feature Elimination

This article presents an intelligent and accurate framework for fault diagnosis of induction motors using light gradient boosting machine (LightGBM). The proposed framework offers promising generalization ability when the testing data contains new unseen operating conditions unavailable during the t...

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Bibliographic Details
Main Authors: Alireza Nemat Saberi, Anouar Belahcen, Jan Sobra, Toomas Vaimann
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Electrical machines
bearings
fault diagnosis
feature importance
gradient boosting
hyperparameter optimization
Online Access:https://ieeexplore.ieee.org/document/9847250/

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