Self-supervised condition monitoring for wind turbine gearboxes based on adaptive feature selection and contrastive residual graph neural network
Wanqian Yang, Mingming Zhang, Jincheng Yu
Ph.D. Candidate · Harbin Institute of Technology
Wanqian Yang
Ph.D. candidate working on intelligent condition monitoring, predictive maintenance, industrial big data, and structural health monitoring for wind turbines.
Research Interests
Selected Publications
Self-supervised condition monitoring for wind turbine gearbox based on adaptive feature selection and contrastive residual graph neural network
Wanqian Yang, Coauthor A, Coauthor B
Fault Diagnosis Methods Based on Machine Learning and its Applications for Wind Turbines: A Review
Wanqian Yang, Coauthor A
Featured Projects
Wind Turbine Blade Crack Propagation Prediction
风电机组叶片裂纹扩展预测
Multi-level Intelligent Condition Monitoring for Wind Turbines
风电机组多层级智能状态监测
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