文章摘要
引用本文: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
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
  
DOI:10.7631/issn.1000-2243.2017.05.0674
中文关键词: 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
英文关键词: distribution switch  mechanical state  vibration signal  2-D feature vector  HHT band-pass filter  FKM clustering
基金项目:
作者单位
高 伟 福州大学电气工程与自动化学院福建 福州 350116 
杨耿杰 福州大学电气工程与自动化学院福建 福州 350116 
郭谋发 福州大学电气工程与自动化学院福建 福州 350116 
徐丽兰 国网福建漳州市供电有限公司福建 漳州 363000 
陈永往 国网福建晋江市供电有限公司福建 泉州 362200 
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中文摘要:
      配电开关动作产生的振动信号具有非线性非平稳特性,蕴含机械状态信息. 提出一种基于振动信号二维特征向量和模糊K均值聚类的配电开关机械状态识别新方法. 利用HHT带通滤波对配电开关振动信号进行时频分解,分别求取各子频带信号的能量值和重心频率,得到振动信号的二维特征向量作为反映配电开关的机械状态的特征量. 提取配电开关在正常、 底座螺丝松动、 机械结构卡涩及卸掉A相触头绝缘拉杆等4种典型状态实测振动信号的二维特征向量做模糊K均值聚类,结果表明,所提取的特征向量能有效地表征配电开关的机械状态.
英文摘要:
      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.
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