Wang Dong, Zhang Shaojie, Shuang Weifang, Wang Li, Yin Jing, Yuan Yuanming
{"title":"基于小波理论的卫星电力系统故障检测方法","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":"{\"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}","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}
A fault detection method based on wavelet theory for satellite power systems
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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