The Study of Fault Signal Detection Based on Wavelet Energy Entropy

摘要：

In view that the power fault signal is catastrophic and non-stationary, how to detect the location for the catastrophe point of the fault signal is researched, the fault signal is pre-processed using a de-noising threshold method in this paper, and the wavelet and entropy is combined, and is applied to power system fault detection and location, and it provides a new idea and method for a singular signal. Through simulation analysis, some conclusions were derived as follows: the catastrophe point of fault signal is well detected through Wavelet Energy Entropy WEE ;if only the left side of the data window is in coincidence with the signal catastrophe point, WEE curve started to flatten, and the moment corresponded to the signal catastrophe point.

关键词： Power system Fault signal Wavelet Energy Entropy Threshold method Detection

作者: Tian-pei Zhou Wen-fang Huang

作者单位: Department of Electrical Engmeering, Xuzhou College of Industrial and Technology, Xuzhou, 221140, Ch Department of Electrical Engineering, Suzhou Technical College, Suzhou, 215007, China

会议类型: 国际会议

会议名称: 2010 International Conference on Image Analysis and Signal Processing(2010 图像分析与信号处理国际会议 IASP 10)

会议地点: 厦门

会议语种:英文

页码: 170-173

在线出版日期: 2010-04-12（万方平台首次上网日期，不代表论文的发表时间）