基于多突变点与模板匹配的用电设备在线状态监测方法

doi:10.16180/j.cnki.issn1007-7820.2024.06.009

Abstract

Abstract:

In view of the problems such as slow processing speed and low accuracy of condition monitoring technology for electrical equipment at this stage, an online status monitoring method of electrical equipment based on the multi-change point detection technology and template matching strategy is proposed. Based on the buffer model and the sliding window model, this method uses the TSTKS(Ternary Search Tree and Kolmogorov-Smirnov) algorithm to form the feature vector of the window dimension and the buffer dimension. The running state matching and status switching time positioning of the electrical equipment are realized by template matching of the two dimensions. Simulation experiments results of the household refrigerator show that the proposed method has the advantages of fast detection speed and high accuracy, and can provide a reference for the state monitoring field of electrical equipment.

Key words: big data analysis, time series data, electrical equipment, condition monitoring, buffer model, multiple change points detection, sliding window, template matching

CLC Number:

TP311

JIA Can, QI Jinpeng, YUAN Ao, XUE Yuxin, DAI Li. An Online Condition Monitoring Method of Electrical Equipment Based on Multiple Change Points and Template Matching[J].Electronic Science and Technology, 2024, 37(6): 69-76.

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References 20

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WS	Time/s	Hit/%
2⁷	1.248 2	64.37
2⁸	0.638 9	72.41
2⁹	0.387 1	84.72
2¹⁰	0.180 7	48.16

交叠机制	Time/s	Hit/%
窗口不交叠、缓冲区不交叠	0.387 1	84.72
窗口交叠、缓冲区不交叠	0.469 7	88.13
窗口交叠、缓冲区交叠	0.514 2	93.46

冰箱状态	缓冲区大小BS	窗口大小WS
关机	2¹⁴	2¹¹
刚开机	2¹³	2¹⁰
制冷期	2¹²	2⁹
除霜期	2¹⁰	2⁹

An Online Condition Monitoring Method of Electrical Equipment Based on Multiple Change Points and Template Matching

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