电器与能效管理技术Issue(12)：40-48,9.DOI:10.16628/j.cnki.2095-8188.2025.12.006
基于混沌特征的有载分接开关振动信号时域特征参数分析
Chaotic Feature-Based Analysis of Time-Domain Parameters for On-Load Tap Changer Vibration Signals
ZHANG Xiaoping 1SHI Wei 2YANG Ruilin3
作者信息
- 1. State Power Investment Corporation Limited,Beijing 100020,China
- 2. Jinweizhou Hydropower Plant,Hengyang,421000,China
- 3. Hunan Wuling Electric Power Technology Co.,Ltd.,Changsha 410000,China
- 折叠
摘要
Abstract
As the sole movable component in power transformers,the on-load tap changer(OLTC)plays a crucial role in security of power system.However,owing to frequent operation and harsh working conditions,the OLTC has become one of the most vulnerable parts of power transformers.Based on the existing fault diagnosis methods,a method analyzing time-domain feature parameters of OLTC vibration signals based on chaotic features is proposed.Starting from the chaotic features of OLTC vibration signals,the signals are reconstructed in a high-dimensional space and their geometric characteristics are extracted.Several chaotic features,including the correlation dimension,largest Lyapunov exponent,and Kolmogorov entropy,are calculated to construct a multidimensional feature space.Finally,K-means clustering is applied to explore the fault diagnosis in OLTCs.The results show that the method can effectively distinguish among different types of OLTC faults.However,when the fault severity is taken into account,the diagnostic effect needs to be further improved.关键词
故障诊断/有载分接开关/混沌特征/振动信号/K-means聚类Key words
fault diagnosis/on-load tap changer(OLTC)/chaotic feature/vibration signal/k-means clustering分类
信息技术与安全科学引用本文复制引用
ZHANG Xiaoping,SHI Wei,YANG Ruilin..基于混沌特征的有载分接开关振动信号时域特征参数分析[J].电器与能效管理技术,2025,(12):40-48,9.
