基于时间序列相似性搜索的电磁阻拦装置故障诊断方法  

Fault Diagnosis Method of Electromagnetic Arresting Gear Based on Time Series Similarity Search

作　　者：李忠 欧阳斌[1] 严路 徐兴华[1] 崔小鹏 邱少华 LI Zhong;OUYANG Bin;YAN Lu;XU Xinghua;CUI Xiaopeng;QIU Shaohua(National Key Laboratory of Electromagnetic Energy,Naval University of Engineering,Wuhan 430033,China;Troops 92011 PLA,Shanghai 202150,China)

机构地区：[1]海军工程大学电磁能技术全国重点实验室,武汉430033 [2]中国人民解放军92011部队,上海202150

出　　处：《高电压技术》2024年第7期3258-3269,I0022,共13页High Voltage Engineering

基　　金：国家自然科学基金(62102436);湖北省自然科学基金(2022CFB989);国防科技重点实验室基金(614221722050602)。

摘　　要：电磁阻拦装置记录的事件数据具有高采样率、多维耦合和非周期瞬态的特点,属于复杂非平稳时间序列。为此提出一种基于级联下界剪枝和全局约束下动态时间规整(dynamictime warping,DTW)提前终止策略的相似性搜索方法对事件数据进行挖掘,以实现快速故障诊断。首先提出一种基于小波熵和重要点筛选的改进分段聚合近似算法对事件数据进行压缩降维;然后依次采用3种级联的DTW下界距离函数进行剪枝,以剔除不相似序列,得到候选序列;最后在候选序列中执行精确搜索,通过提出的全局约束下提前终止策略优化DTW度量速度。在电磁阻拦装置原型的历史实验数据中开展实验,验证了该方法能够准确匹配工况及系统故障类别,效率相比主流的TS2BC算法提高了2.14倍。The event data recorded by electromagnetic arresting gear exhibits high sampling rate,multi-dimensional coupling,and aperiodic transient,making it a complex non-stationary time series.In this paper,a similarity search method based on cascading lower bound pruning and global constraint early-abandoned strategy of DTW(dynamic time warping)is proposed to mine the event data for efficient fault diagnosis.Firstly,an improved piecewise aggregation approximation algorithm based on wavelet entropy and important point filtering is proposed to compress and reduce the dimension of event data.Secondly,three cascaded DTW lower bound distance functions are sequentially employed for pruning,elimi-nating dissimilar sequences and generating candidate sequences.Finally,a precise search is performed within the candidate sequence,optimizing DTW measurement speed using the proposed global constraint-based early-abandoned strategy.Experiments were carried out in the historical test data of the prototype of the electromagnetic arresting gear,which verified that the method proposed in this paper can match the working conditions and determine the system fault category accurately,and the efficiency is improved by 2.14 times compared with the mainstream TS2BC algorithm.

关 键 词：电磁阻拦装置 非平稳时间序列 相似性搜索 小波熵 级联下界 动态时间规整 

分 类 号：O441.4[理学—电磁学] TP277[理学—物理]