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Author

Qingtao Yao

Observed name: Qing-Tao Yao
ORCID: 0000-0003-3080-8230
Observed ORCID: 0000-0003-3080-8230
OpenAlex ID: A5073769395
Transformer-based meta learning method for bearing fault identification under multiple small sample conditions
2023 · Xianze Li, Hao Su, et al. · Mechanical Systems and Signal Processing · 80
A novel model for ultra-short term wind power prediction based on Vision Transformer
2024 · Ling Xiang, Xiaomengting Fu, et al. · Energy · 67
A novel stochastic process diffusion model for wind turbines condition monitoring and fault identification with multi-parameter information fusion
2024 · Qingtao Yao, Hankun Bing, et al. · Mechanical Systems and Signal Processing · 43
A novel composed method of cleaning anomy data for improving state prediction of wind turbine
2022 · Qingtao Yao, Haowei Zhu, et al. · Renewable Energy · 42
Impact of Wind Power Penetration on Wind–Thermal-Bundled Transmission System
2022 · Ling Xiang, Hao-Wei Zhu, et al. · IEEE Transactions on Power Electronics · 32
A new condition-monitoring method based on multi-variable correlation learning network for wind turbine fault detection
2022 · Qingtao Yao, Xianze Li, et al. · Measurement Science and Technology · 19
A novel diffusion model with Shapley value analysis for anomaly detection and identification of wind turbine
2025 · Qingtao Yao, Bohua Chen, et al. · Expert Systems with Applications · 15
Semi-Supervised Temporal Meta-Learning Framework for Wind Turbine Bearing Fault Diagnosis Under Limited Annotation Data
2024 · Hao Su, Qingtao Yao, et al. · IEEE Transactions on Instrumentation and Measurement · 15
A Novel Transfer Learning Framework Based on Deep Contrastive Convolution for Wind Turbine Bearing Fault Localization
2025 · Hao Su, Qingtao Yao, et al. · IEEE Transactions on Reliability · 8
Task-adaptive learning with gradient weighting for bearing fault identification under small sample conditions
2025 · Xianze Li, Qingtao Yao, et al. · Engineering Applications of Artificial Intelligence · 5
A deep integration model of temporal and spatial information for condition monitoring of steam turbine generator sets
2025 · Bohua Chen, Hankun Bing, et al. · Nondestructive Testing And Evaluation · 5
A bi-stage adaptive transformer model for condition monitoring of steam turbine generator sets incorporating with shapley additive explanations
2025 · Bohua Chen, Hankun Bing, et al. · Expert Systems with Applications · 2
Unveiling MISFN: A Multiattribute Information Segmentation and Fusion Network for Advanced Wind Turbine Anomaly Monitoring
2025 · Qingtao Yao, Guopeng Zhu, et al. · IEEE Sensors Journal · 2
A Novel Combinatorial Network for Anomaly Monitoring of Wind Turbines
2023 · Qingtao Yao, Hao Su, et al. · International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD) · 2
CrossSTLLM: A continually adaptive spatiotemporal large language model for anomaly detection and fault localization in wind turbines with diverse distribution
2026 · Qingtao Yao, Ruibin Ban, et al. · Applied Energy · 1
MASBN: a multi-attribute spatiotemporal braided network for fault detection and localization in thermal power units
2026 · Hankun Bing, Bohua Chen, et al. · Measurement · 1
A Novel Transformer Network for Anomaly Detection of Wind Turbines
2024 · Lifeng Cheng, Qingtao Yao, et al. · International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD) · 1
A Novel Combined Model for Condition Monitoring of Steam Turbine-Generator Sets
2024 · Bohua Chen, Hankun Bing, et al. · International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD) · 1
Feature-aware dynamic expert network for long-tailed rolling bearing fault diagnosis
2026 · Linfeng Lu, Qian Sun, et al. · Journal of Vibration and Control
A novel Transformer model for condition monitoring of wind turbines integrating with Kolmogorov-Arnold network
2026 · Ruibin Ban, Bohua Chen, et al. · IEEE Sensors Journal
Influence of Control Parameters on Wind-Thermal-Bundled Transmission System with High Wind Power Penetration
2023 · Linchun Li, Qingtao Yao, et al. · International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)
Works count: 21
Citation count: 340
H-index: 8
I10-index: 8
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