{"title":"雷电电流波形参数提取方法评价","authors":"S. Grebović, N. Oprasic, A. Balota","doi":"10.1109/ISGTEurope.2018.8571674","DOIUrl":null,"url":null,"abstract":"This paper describes method for lightning current waveform parameters estimation from direct current measurements on remote lightning monitoring system. Proposed signal enhancemed method is based on segmentational multi-step digital signal enhancement in time domain. Performance of proposed waveform parameter estimation has been confirmed in Monte Carlo simulation of three types of synthetic signals corrupted with different levels of additive Gaussian white noise. The proposed approach for noise reduction in time domain offers satisfactory results.","PeriodicalId":302863,"journal":{"name":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Evaluation of Method for Lightning Current Waveform Parameter Extraction\",\"authors\":\"S. Grebović, N. Oprasic, A. Balota\",\"doi\":\"10.1109/ISGTEurope.2018.8571674\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes method for lightning current waveform parameters estimation from direct current measurements on remote lightning monitoring system. Proposed signal enhancemed method is based on segmentational multi-step digital signal enhancement in time domain. Performance of proposed waveform parameter estimation has been confirmed in Monte Carlo simulation of three types of synthetic signals corrupted with different levels of additive Gaussian white noise. The proposed approach for noise reduction in time domain offers satisfactory results.\",\"PeriodicalId\":302863,\"journal\":{\"name\":\"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISGTEurope.2018.8571674\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGTEurope.2018.8571674","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of Method for Lightning Current Waveform Parameter Extraction
This paper describes method for lightning current waveform parameters estimation from direct current measurements on remote lightning monitoring system. Proposed signal enhancemed method is based on segmentational multi-step digital signal enhancement in time domain. Performance of proposed waveform parameter estimation has been confirmed in Monte Carlo simulation of three types of synthetic signals corrupted with different levels of additive Gaussian white noise. The proposed approach for noise reduction in time domain offers satisfactory results.
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