Wang Dong, Zhang Shaojie, Shuang Weifang, Wang Li, Yin Jing, Yuan Yuanming
{"title":"A fault detection method based on wavelet theory for satellite power systems","authors":"Wang Dong, Zhang Shaojie, Shuang Weifang, Wang Li, Yin Jing, Yuan Yuanming","doi":"10.1109/CCDC.2015.7162354","DOIUrl":null,"url":null,"abstract":"Considering that the temperature sensors of satellite power systems are sensitive to the noise, a fault detection method based on the theory of wavelet entropy and the wavelet multi-scale products is purposed to reduce the influence of the noise. Wavelet entropy is applied to amplify the signal-noise ratio by finding the optimal de-noising threshold. Besides, by using of the multi-scale products, the proportion coefficients are further magnified. Then the fault time could be determined by the modulus maximum. Finally, simulation for a class of satellite power systems is conducted, verifying the effectiveness of the proposed method.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 27th Chinese Control and Decision Conference (2015 CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2015.7162354","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Considering that the temperature sensors of satellite power systems are sensitive to the noise, a fault detection method based on the theory of wavelet entropy and the wavelet multi-scale products is purposed to reduce the influence of the noise. Wavelet entropy is applied to amplify the signal-noise ratio by finding the optimal de-noising threshold. Besides, by using of the multi-scale products, the proportion coefficients are further magnified. Then the fault time could be determined by the modulus maximum. Finally, simulation for a class of satellite power systems is conducted, verifying the effectiveness of the proposed method.
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