福州大学学报（自然科学版）2017，Vol.45Issue(5)：674-680,7.DOI:10.7631/issn.1000-2243.2017.05.0674
采用振动信号二维特征向量聚类的配电开关机械状态识别新方法
A novel mechanical state identification method for distribution switch based on vibration signal 2-D feature vector with clustering algorithm
摘要
Abstract
Vibration signals of distribution switches that contain mechanical information are characterized by nonlinearity and nonstationarity.Thus,A novel mechanical state identification method for distribution switch based on vibration signal 2-D feature vector with fuzzy K-mean clustering algorithm was proposed in this paper.Taking advantage of HHT band-pass filter,vibration signals would be decomposed in time and frequency domain in order to obtain each sub-band reconstructed signal's energy and center frequency as the 2-D feature vector,which could represent the mechanical state for distribution switch.FKM clustering was applied to these 2-D feature vectors of observed vibration signals in four typical conditions including normal states,screw loosing states,mechanical structure clamping stagnation states and relieved insulated pull rod of phase A contacts states.Results show that the feature quantity can represent the mechanical state of distribution switch accurately and effectively.关键词
配电开关/机械状态/振动信号/二维特征向量/HHT带通滤波/模糊K均值聚类Key words
distribution switch/mechanical state/vibration signal/2-D feature vector/HHT band-pass filter/FKM clustering分类
信息技术与安全科学引用本文复制引用
高伟,杨耿杰,郭谋发,徐丽兰,陈永往..采用振动信号二维特征向量聚类的配电开关机械状态识别新方法[J].福州大学学报（自然科学版）,2017,45(5):674-680,7.基金项目
福建省自然科学基金资助项目(2016J01218) （2016J01218）
福建省教育厅科研资助项目(JA15086) （JA15086）
