Anbo Ming

Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study

Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application

A review on data-driven fault severity assessment in rolling bearings

Rolling element bearing fault detection using PPCA and spectral kurtosis

Deep Learning Algorithms for Bearing Fault Diagnostics—A Comprehensive Review

HVSRMS localization formula and localization law: Localization diagnosis of a ball bearing outer ring fault

Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0

Fault Diagnosis Method Based on Principal Component Analysis and Broad Learning System

A New Transfer Learning Method and its Application on Rotating Machine Fault Diagnosis Under Variant Working Conditions

Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions

Applications of machine learning to machine fault diagnosis: A review and roadmap

An Improved Ant Colony Optimization Algorithm Based on Hybrid Strategies for Scheduling Problem

A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings

Thermal Imaging and Vibration-Based Multisensor Fault Detection for Rotating Machinery

A Novel Fault Diagnosis Method Based on Integrating Empirical Wavelet Transform and Fuzzy Entropy for Motor Bearing

Spectrum auto-correlation analysis and its application to fault diagnosis of rolling element bearings

Envelope calculation of the multi-component signal and its application to the deterministic component cancellation in bearing fault diagnosis

Dual-Impulse Response Model for the Acoustic Emission Produced by a Spall and the Size Evaluation in Rolling Element Bearings