Research on 3D-BTC Signal Denoise Method of Aero-Engine Blade Based on ICOA Optimized VMD

Turbine is an important part of aero-engine, and the appearance of turbine blade crack affects the normal operation of aero-engine. It is very important to diagnose the blade crack of turbine, but due to the interference of many factors, the picked fault signal carries a lot of noise, which affects the subsequent signal processing. Therefore, improved coati optimization algorithm-variational mode decomposition-correlation coefficient(ICOA-VMD-CC) denoise algorithm is designed in this paper. Firstly, the ICOA is used to make original COA have better parameter optimization ability, then it is also used to optimize VMD parameters, and CC is used for Intrinsic mode function(IMF) screening to reconstruct signals. The results show that the optimization ability of ICOA in single-peak and multi-peak functions is greatly improved compared with other algorithms. At the same time, ICOA-VMD-CC algorithm has a good noise reduction effect on three-dimensional tip clearance signals of cracked blades. Compared with other algorithms, ICOA-VMD-CC algorithm removes the noise of irrelevant components and retains the effective peak data, achieving a good noise reduction effect.