{"title":"一种模拟电路状态监测与健康评估的新方法","authors":"Xu Lijia, Zhiliang Kang","doi":"10.1109/ICCET.2010.5486258","DOIUrl":null,"url":null,"abstract":"Aiming at monitoring health degradation of analog circuit, the paper proposes a new method about state monitoring and health evaluation. Firstly original voltage features are extracted from analog circuit with some components changing gradually; Then LDA is used to reduce the dimension of the original features to obtain effective features; In the following with the effective features of normal state, a DHMM trained by an improved training algorithm is applied to calculate KL distance to monitor analog circuit's state and evaluate its health. Applying this new method to an analog circuit, the experiment results show that the proposed method can successfully convert the unconspicuous change of early fault process into the obvious change of KL distance and owns excellent capability of state monitoring.","PeriodicalId":271757,"journal":{"name":"2010 2nd International Conference on Computer Engineering and Technology","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A novel method for monitoring state and evaluating health of analog circuit\",\"authors\":\"Xu Lijia, Zhiliang Kang\",\"doi\":\"10.1109/ICCET.2010.5486258\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at monitoring health degradation of analog circuit, the paper proposes a new method about state monitoring and health evaluation. Firstly original voltage features are extracted from analog circuit with some components changing gradually; Then LDA is used to reduce the dimension of the original features to obtain effective features; In the following with the effective features of normal state, a DHMM trained by an improved training algorithm is applied to calculate KL distance to monitor analog circuit's state and evaluate its health. Applying this new method to an analog circuit, the experiment results show that the proposed method can successfully convert the unconspicuous change of early fault process into the obvious change of KL distance and owns excellent capability of state monitoring.\",\"PeriodicalId\":271757,\"journal\":{\"name\":\"2010 2nd International Conference on Computer Engineering and Technology\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Conference on Computer Engineering and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCET.2010.5486258\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Conference on Computer Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCET.2010.5486258","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel method for monitoring state and evaluating health of analog circuit
Aiming at monitoring health degradation of analog circuit, the paper proposes a new method about state monitoring and health evaluation. Firstly original voltage features are extracted from analog circuit with some components changing gradually; Then LDA is used to reduce the dimension of the original features to obtain effective features; In the following with the effective features of normal state, a DHMM trained by an improved training algorithm is applied to calculate KL distance to monitor analog circuit's state and evaluate its health. Applying this new method to an analog circuit, the experiment results show that the proposed method can successfully convert the unconspicuous change of early fault process into the obvious change of KL distance and owns excellent capability of state monitoring.