| Citation: | XU Jianxin, ZHAO Shujie, MA Chao, et al. Damage monitoring of engine fan blades based on EWT-entropy method[J]. Journal of Aerospace Power, 2023, 38（1）：23-31 doi: 10.13224/j.cnki.jasp.20210365
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In order to find the characteristics of the flight damaged by foreign objects on the fan blades from the engine performance data, so as to distinguish the flights damaged by the foreign objects on the fan blades, a method combining empirical wavelet transform and information entropy was proposed in the airborne quick access recorder (QAR）data detection. Through the fitted and smoothed process and empirical wavelet transform of the original vibration data of each flight, the sum of the energy entropy of each intrinsic mode function after decomposition was extracted, and the multi-scale entropy of the added window function was analyzed. The result showed the entropy value of the fitted data changed more obviously, and the sum of the energy entropy of the flight with fan blades damaged by foreign objects had a decreasing trend of more than 10%, and the improved multi-scale entropy had an increasing trend of more than 40%, which was obviously different from other normal flights. It is proved that the EWT-entropy method can better monitor the damage by foreign objects of the engine fan blades.
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