A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network. - Sheng Guo 004; Tao Yang 038; Wei Gao; Chen Zhang 006 (Sensors, 2018)

An Intelligent Fault Diagnosis Method for Bearings with Variable Rotating Speed Based on Pythagorean Spatial Pyramid Pooling CNN. - Sheng Guo 004; Tao Yang 038; Wei Gao; Chen Zhang 006; Yanping Zhang (Sensors, 2018)

Anomaly Detection of Power Plant Equipment Using Long Short-Term Memory Based Autoencoder Neural Network. - Di Hu 006; Chen Zhang 006; Tao Yang 038; Gang Chen (Sensors, 2020)

Multitask Convolutional Neural Network With Information Fusion for Bearing Fault Diagnosis and Localization. - Sheng Guo 004; Bin Zhang 008; Tao Yang 038; Dongzhen Lyu; Wei Gao (IEEE Trans. Ind. Electron., 2020)

Uncertainty Analysis in the Application of Fault Diagnosis and Prognosis. - Dongzhen Lyu; Guangxing Niu; Tao Yang 038; Chen Gang; Bin Zhang 008 (ICPS, 2021)

Lebesgue-Time-Space-Model-Based Diagnosis and Prognosis for Multiple Mode Systems. - Dongzhen Lyu; Guangxing Niu; Bin Zhang 008; Gang Chen; Tao Yang 038 (IEEE Trans. Ind. Electron., 2021)

The explainable uncertainty in degradation process: a discovery from non-accelerated batteries degradation experiment. - Dongzhen Lyu; Bin Zhang 008; Enrico Zio; Tao Yang 038 (IECON, 2022)

Time space modelling for fault diagnosis and prognosis with uncertainty management: A general theoretical formulation. - Dongzhen Lyu; Guangxing Niu; Enhui Liu; Bin Zhang 008; Gang Chen; Tao Yang 038; Enrico Zio (Reliab. Eng. Syst. Saf., 2022)

Anomaly detection and diagnosis for wind turbines using long short-term memory-based stacked denoising autoencoders and XGBoost. - Chen Zhang 006; Di Hu 006; Tao Yang 038 (Reliab. Eng. Syst. Saf., 2022)

Image Recognition of Wind Turbine Blade Defects Using Attention-Based MobileNetv1-YOLOv4 and Transfer Learning. - Chen Zhang 006; Tao Yang 038; Jing Yang (Sensors, 2022)

Lebesgue Sampling-Based Li-Ion Battery Simplified First Principle Model for SOC Estimation and RDT Prediction. - Enhui Liu; Xuan Wang 012; Guangxing Niu; Dongzhen Lyu; Tao Yang 038; Bin Zhang 008 (IEEE Trans. Ind. Electron., 2022)

Uncertainty Management and Differential Model Decomposition for Fault Diagnosis and Prognosis. - Dongzhen Lyu; Guangxing Niu; Enhui Liu; Tao Yang 038; Gang Chen; Bin Zhang 008 (IEEE Trans. Ind. Electron., 2022)

Low-Cost Adaptive LS-DEKF for SOC Estimation and RDT Prediction With SFP Model. - Enhui Liu; Guangxing Niu; Dongzhen Lyu; Tao Yang 038; Bin Zhang 008 (IEEE Trans. Instrum. Meas., 2023)

Research of artificial intelligence operations for wind turbines considering anomaly detection, root cause analysis, and incremental training. - Chen Zhang 006; Di Hu 006; Tao Yang 038 (Reliab. Eng. Syst. Saf., 2024)

A deep autoencoder with structured latent space for process monitoring and anomaly detection in coal-fired power units. - Di Hu 006; Chen Zhang 006; Tao Yang 038; Qingyan Fang (Reliab. Eng. Syst. Saf., 2025)

Threshold-Varying Assessment for Prognostics and Health Management. - Dongzhen Lyu; Enhui Liu; Bin Zhang 008; Enrico Zio; Tao Yang 038; Jiawei Xiang (IEEE Trans. Syst. Man Cybern. Syst., 2025)