小波包特征熵提取水电机组轴心轨迹形状  

Extracting Axis Orbit of Hydro-generating Unit Using Characteristic Entropy of Wavelet Packet

作　　者：桂中华[1] 潘罗平[1] 张浩[2] 周叶[1] 

机构地区：[1]中国水利水电科学研究院,北京100038 [2]浙江省电力公司,浙江杭州310008

出　　处：《水力发电》2009年第8期49-51,共3页Water Power

基　　金：中国电机工程学会电力青年科技创新项目资助(0203162008)

摘　　要：将小波包多分辨与信息熵相结合,提出了一种提纯水电机组轴心轨迹的方法——小波包特征熵法。首先对采集到的摆度信号进行小波包分解,在通频范围内得到分布在不同频段内的分解序列,进而提取其小波包特征熵,选取占信号特征熵比较大的几个主要小波包进行信号重构,得出能清晰反映轴心轨迹形状特征的提纯信号。This paper presents a method of axis orbit purification of hydro-generating unit by combining muhi-resolution signal decomposition of wavelet packet with information entropy. This method is called ＂wavelet packet characteristic entropy＂. Firstly the monitored signal is decomposed by wavelet packet, so a set of decomposition sequences in different frequency intervals are gained, then the characteristic entropy of wavelet packet of the signal is extracted. In the end, the purification signals reflecting clearly the shape characteristics of axis orbit can be obtained by reconstructing some primary wavelet characteristic packets with big signal characteristic entropy.

关 键 词：轴心轨迹提纯 小波包特征熵 水电机组 

分 类 号：TM312[电气工程—电机]