Digital twin‐driven online intelligent assessment of wind turbine gearbox

• DOI: 10.1002/we.2912
• Publication Date: 2024-05-08T05:45:21Z
• Authors: Yadong Zhou; Jianxing Zhou; Quanwei Cui; Jianmin Wen; Xiang Fei
• Keywords: digital twin; intelligent calibration; damage assessment; 0211 other engineering and technologies; TJ807-830; 02 engineering and technology; Renewable energy sources; wind turbine drivetrain

Abstract Remaining useful fatigue life monitoring of wind turbine drivetrains is important. However, the implementation real‐time often faces efficiency and accuracy challenges. In order to resolve this, this paper proposes a vibration‐based damage digital twin (VBDM‐DT) that enables online intelligent evaluation gearboxes, using gear tooth surface durability as an example mode. The VBDM‐DT integrates random load model, high‐fidelity dynamics model. model takes speed from supervisory control data acquisition (SCADA) input estimate torque drivetrain in real time. Simultaneously, uses vibration signals condition system (CMS) intelligently calibrate allowing it be continuously adjusted optimized response actual vibrations. dynamic loads estimated by achieve key components gearbox. Applying 2 MW gearbox, results indicate provides satisfactory estimating good adaptability calibration Based on estimation for gears bearings more credible reliable.