机械科学与技术2012，Vol.31Issue(8)：1315-1319,5.
基于IMF和粗糙度特征的发动机振动信号分析
Aeroengine Vibration Signal Analysis Based on Intrinsic Mode Function and Generalized Roughness Feature
摘要
Abstract
The vibration signal of the aeroengine is non-stationary and involves multi-frequency components as well as an abundant of noise. The Hilbert-Huang transform was used to decompose the vibration signal into a number of intrinsic mode functions （IMF） which represented the physically meaning of the data. Then, the generalized roughness vectors of the IMF were obtained. Because the energy of the IMF represents the validity of this component in the whole signal, the percentage of energy is used as the weight of the generalized roughness feature. Finally, the energy weighted generalized roughness feature was obtained. The experiments on the aeroengine test data of the rubimpact and the normal conditions demonstrated that these statistic characteristics were distinguished for different conditions.关键词
固有模态函数/广义粗糙度特征/能量/振动信号分析/航空发动机Key words
intrinsic mode functions/generalized roughness vector/energy/vibration signal analysis/aeroengine分类
信息技术与安全科学引用本文复制引用
吴娅辉,李新良,张大治,洪宝林..基于IMF和粗糙度特征的发动机振动信号分析[J].机械科学与技术,2012,31(8):1315-1319,5.基金项目
基金项目：航空科学基金重点项目（20105644004）资助 （）
