噪声与振动控制2012，Vol.32Issue(1)：113-118,6.DOI:10.3969/j.issn.1006-1355-2012.01.027
HHT统计特征在航空发动机振动分析中的应用
Statistical Feature of Hilbert - Huang Transform and Its Application in Aeroengine Vibration Analysis
摘要
Abstract
The vibration signals of the aeroengine include many multi-frequency components and noise components. In this paper, the Hilbert-Huang transform is used to decompose the vibration signals into a number of intrinsic mode functions (IMF) which represent different physical meanings of the data. Then, the generalized roughness vector of the IMF weighted by its energy is extracted from the IMF signals. Finally, as the fault characteristic vectors, the derived parameters are input into the support vector machine (SVM) classifier and the working conditions and fault patterns are identified by the output of the classifier. Results from the analysis of aeroengine vibration signals show that this fault diagnosis method can classify the working conditions and the fault patterns effectively.关键词
振动与波/Hilbert-Huang变换/广义粗糙度特征/SVM/振动分析/航空发动机Key words
vibration and wave/Hilbert - Huang transform/generalized roughness vector/support vector machine/vibration 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,洪宝林,张大治..HHT统计特征在航空发动机振动分析中的应用[J].噪声与振动控制,2012,32(1):113-118,6.基金项目
航空科学基金重点项目(20105644004) （20105644004）
