水力发电学报2011，Vol.30Issue(4)：214-221,8.
基于改进HHT方法提取水轮机动态特征信息研究
Study on dynamic signal feature extraction of hydroturbine based on an improved HHT method
摘要
Abstract
Hydroturbine shafting signal is a typical time-varying non-stationary signal which can be analyzed by conventional HHT.After decomposing the original signal by the EMD,however,in the low frequency zone it is easy to generate an artificial IMF component which would directly impact the feature extraction and lead to a wrong judgment.In this paper an improved HHT method and its discrimination are put forth on the basis of energy-correlation fluctuation.This method is validated by using simulation signals of a dynamic signal test for prototype hydroturbine under non-optimal operating condition.The results show that the new method is more convenient and effective than conventional HHT and can well identify false component and extract true characteristic parameters.The method is useful in analyzing the complex and specific dynamic characteristics of hydroturbine.关键词
水轮机/动态特征信息/经验模态分解/虚假分量/改进Hilbert-Huang变换Key words
hydroturbine/dynamic characteristic/empirical model decomposition/artificial component/improved HHT分类
信息技术与安全科学引用本文复制引用
薛延刚,罗兴錡,王瀚,郭鹏程..基于改进HHT方法提取水轮机动态特征信息研究[J].水力发电学报,2011,30(4):214-221,8.基金项目
国家自然科学基金项目 （）
