National Natural Science Foundation of China [61665002, 61961017]; Central universities basic research business expenses special funds
机构署名：
本校为第一且通讯机构
院系归属：
物理科学与技术学院
摘要：
Herein, we aimed to solve the problem of difficulty in filtering the noise components in the monitoring of strain on wind turbine blades using fiber bragg grating, a denoising method based on parameter-optimized variational mode decomposition (VMD) is proposed. This method uses the minimum envelope entropy as the fitness function and the slime mould algorithm for self-adaptive optimization to find the optimal combination of modal decomposition components K and the quadratic penalty factor alpha of VMD. The optimized VMD was used to decompose the strain data of wind turbine blades over time int...
