{"title":"动态时间翘曲法在荧光灯弧度相似性测量中的应用","authors":"Yu-Jen Liu, Yuansheng Cheng","doi":"10.1109/SNPD51163.2021.9704925","DOIUrl":null,"url":null,"abstract":"Daily used fluorescent lamp or lighting tube is mainly consisted of optical element and power electronic component. The usage of them result in the various distortions on residential electricity supply and impact to power quality due to the nonlinear characteristic from arc phenomenon. In order to seek effectiveness ways for power quality improvement and to prevent any abnormal event on electricity supply, detection work on electric arc becomes important. For the electric arc detection, previous recognition on different arc properties or different forming sources can help to achieve this work. This paper thus propose an idea by using similarity measurement to find the relevance between produced arc signal and the source of arc. Dynamic Time Warping method is proposed in this paper to implement similarity measurement and six kinds of commercial fluorescent lamps from the market are selected for tests. Experimental results indicate that the proposed method can classify the arc signal into different lamp categories accurately.","PeriodicalId":235370,"journal":{"name":"2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using Dynamic Time Warping Method for the Similarity Measurement of Fluorescent Lamp Arc\",\"authors\":\"Yu-Jen Liu, Yuansheng Cheng\",\"doi\":\"10.1109/SNPD51163.2021.9704925\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Daily used fluorescent lamp or lighting tube is mainly consisted of optical element and power electronic component. The usage of them result in the various distortions on residential electricity supply and impact to power quality due to the nonlinear characteristic from arc phenomenon. In order to seek effectiveness ways for power quality improvement and to prevent any abnormal event on electricity supply, detection work on electric arc becomes important. For the electric arc detection, previous recognition on different arc properties or different forming sources can help to achieve this work. This paper thus propose an idea by using similarity measurement to find the relevance between produced arc signal and the source of arc. Dynamic Time Warping method is proposed in this paper to implement similarity measurement and six kinds of commercial fluorescent lamps from the market are selected for tests. Experimental results indicate that the proposed method can classify the arc signal into different lamp categories accurately.\",\"PeriodicalId\":235370,\"journal\":{\"name\":\"2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SNPD51163.2021.9704925\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SNPD51163.2021.9704925","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using Dynamic Time Warping Method for the Similarity Measurement of Fluorescent Lamp Arc
Daily used fluorescent lamp or lighting tube is mainly consisted of optical element and power electronic component. The usage of them result in the various distortions on residential electricity supply and impact to power quality due to the nonlinear characteristic from arc phenomenon. In order to seek effectiveness ways for power quality improvement and to prevent any abnormal event on electricity supply, detection work on electric arc becomes important. For the electric arc detection, previous recognition on different arc properties or different forming sources can help to achieve this work. This paper thus propose an idea by using similarity measurement to find the relevance between produced arc signal and the source of arc. Dynamic Time Warping method is proposed in this paper to implement similarity measurement and six kinds of commercial fluorescent lamps from the market are selected for tests. Experimental results indicate that the proposed method can classify the arc signal into different lamp categories accurately.