Xian Ding

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

A novel hybrid compound fault pattern identification method for gearbox based on NIC, MFDFA and WOASVM

An integrated fault diagnosis and prognosis approach for predictive maintenance of wind turbine bearing with limited samples

Misfire and valve clearance faults detection in the combustion engines based on a multi-sensor vibration signal monitoring

Multiple wavelet regularized deep residual networks for fault diagnosis

Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects

Detection of Pitting in Gears Using a Deep Sparse Autoencoder

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

Machine learning methods for wind turbine condition monitoring: A review

Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples

Compound faults diagnosis and analysis for a wind turbine gearbox via a novel vibration model and empirical wavelet transform

Application of cyclic coherence function to bearing fault detection in a wind turbine generator under electromagnetic vibration

Pitting Fault Detection of a Wind Turbine Gearbox Using Empirical Mode Decomposition

DNN‐based approach for fault detection in a direct drive wind turbine

Multi-fault detection and failure analysis of wind turbine gearbox using complex wavelet transform