电气传动2026，Vol.56Issue(9)：81-90,10.DOI:10.19457/j.1001-2095.dqcd27012
自适应时频与能量特征融合的故障定位方法
Fault Location Method Based on Fusion of Adaptive Time-frequency and Energy Features
王志 1张志刚 1李舒桢 1王辉 1杨欣儒 2赵壬福2
作者信息
- 1. 天津市电力科技发展有限公司,天津 300409
- 2. 天津理工大学 电气工程与自动化学院,天津 300384
- 折叠
摘要
Abstract
To achieve accurate fault location of distribution lines,a fault location method based on adaptive time-frequency and energy feature fusion was proposed,addressing the problem of inconsistent features in multi-branch distribution lines during cross-feeding and the low precision of traveling wavehead extraction in traditional Fourier methods.This method employed wavelet packet decomposition combined with energy ratio and information entropy features for cross-feed line normalization.It also utilized the energy change rate to trigger an adaptive windowed short-time Fourier transform(STFT),allowing for the acquisition of time-frequency spectrograms and the identification of wave crest moments.By weightedly integrating the time difference of arrival(TDOA)and the energy decay algorithm(EDA),the localization results were optimized.Research conducted via Matlab simulations demonstrates that the proposed localization method effectively achieves fault localization under various signal-to-noise ratios and grounding resistances,thereby enhancing supply reliability.关键词
行波定位/自适应时频/特征融合/时间差到达算法/能量衰减算法Key words
wave propagation positioning/adaptive time-frequency/feature fusion/time difference of arrival(TDOA)/energy decay algorithm(EDA)分类
信息技术与安全科学引用本文复制引用
王志,张志刚,李舒桢,王辉,杨欣儒,赵壬福..自适应时频与能量特征融合的故障定位方法[J].电气传动,2026,56(9):81-90,10.
