Multi-sensor fusion fault diagnosis method of wind turbine bearing based on adaptive convergent viewable neural networks

Xinming Li, Yanxue Wang, Jiachi Yao, Meng Li, Zhikang Gao

Abstract: Highlights•Developed an intelligent diagnostic framework with interpretability using graph neural networks.•Proposed CVC method for integrating vibration signals, improving fault classification accuracy.•Introduced AcvGraph algorithm for capturing correlations in time series data, improving recognition performance.