Tao Yang

Orcid: 0000-0002-7018-9465

Affiliations:
  • Huazhong University of Science and Technology, School of Energy and Power Engineering, Wuhan, Hubei, China (PhD 2009)


According to our database1, Tao Yang authored at least 16 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2025
Threshold-Varying Assessment for Prognostics and Health Management.
IEEE Trans. Syst. Man Cybern. Syst., January, 2025

A deep autoencoder with structured latent space for process monitoring and anomaly detection in coal-fired power units.
Reliab. Eng. Syst. Saf., 2025

2024
Research of artificial intelligence operations for wind turbines considering anomaly detection, root cause analysis, and incremental training.
Reliab. Eng. Syst. Saf., January, 2024

2023
Low-Cost Adaptive LS-DEKF for SOC Estimation and RDT Prediction With SFP Model.
IEEE Trans. Instrum. Meas., 2023

2022
Uncertainty Management and Differential Model Decomposition for Fault Diagnosis and Prognosis.
IEEE Trans. Ind. Electron., 2022

Lebesgue Sampling-Based Li-Ion Battery Simplified First Principle Model for SOC Estimation and RDT Prediction.
IEEE Trans. Ind. Electron., 2022

Image Recognition of Wind Turbine Blade Defects Using Attention-Based MobileNetv1-YOLOv4 and Transfer Learning.
Sensors, 2022

Anomaly detection and diagnosis for wind turbines using long short-term memory-based stacked denoising autoencoders and XGBoost.
Reliab. Eng. Syst. Saf., 2022

Time space modelling for fault diagnosis and prognosis with uncertainty management: A general theoretical formulation.
Reliab. Eng. Syst. Saf., 2022

The explainable uncertainty in degradation process: a discovery from non-accelerated batteries degradation experiment.
Proceedings of the IECON 2022, 2022

2021
Lebesgue-Time-Space-Model-Based Diagnosis and Prognosis for Multiple Mode Systems.
IEEE Trans. Ind. Electron., 2021

Uncertainty Analysis in the Application of Fault Diagnosis and Prognosis.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

2020
Multitask Convolutional Neural Network With Information Fusion for Bearing Fault Diagnosis and Localization.
IEEE Trans. Ind. Electron., 2020

Anomaly Detection of Power Plant Equipment Using Long Short-Term Memory Based Autoencoder Neural Network.
Sensors, 2020

2018
An Intelligent Fault Diagnosis Method for Bearings with Variable Rotating Speed Based on Pythagorean Spatial Pyramid Pooling CNN.
Sensors, 2018

A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network.
Sensors, 2018


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