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)

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)

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)