LightGBM-Based Fault Diagnosis of Rotating Machinery Under Changing Working Conditions Using Modified Recursive Feature Elimination
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DOI: 10.1109/access.2022.3195939
Abstract: 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… read more here.
Keywords: recursive feature; fault diagnosis; lightgbm; feature ... See more keywords