A fault diagnosis method for multi-class imbalanced data based on compressed sensing and adaptive oversampling techniques
Transactions of the Institute of Measurement and Control
Published online on September 07, 2025
Abstract
Transactions of the Institute of Measurement and Control, Ahead of Print.
In the context of fault detection for rotating machinery, such as bearings, the high noise levels, large data volumes, and imbalanced data distributions in the collected signals have consistently impacted the accuracy of fault detection. To address these ...
In the context of fault detection for rotating machinery, such as bearings, the high noise levels, large data volumes, and imbalanced data distributions in the collected signals have consistently impacted the accuracy of fault detection. To address these ...