{"title":"具有线性标准差函数的线性独立增量过程用于退化分析","authors":"Zhihua Wang, H. Fu, Yongbo Zhang","doi":"10.1109/IBCAST.2013.6512137","DOIUrl":null,"url":null,"abstract":"Degradation test is a feasible means to assess the failure time distributions of complex systems and highly reliable products. Generally speaking, the degradation process is essentially a continuous state random process. Motivated by the independent increment process theory, we propose a degradation analysis model, in which degradation is represented by an independent increment process with linear mean and standard deviation functions (quadratic variance function). A one-stage method is further developed to estimate the model parameters and failure time distribution. The methodology has been implemented in the analysis of GaAs laser degradation. The comparative results illustrate that the proposed method can be considered good and show a promise for future applications.","PeriodicalId":276834,"journal":{"name":"Proceedings of 2013 10th International Bhurban Conference on Applied Sciences & Technology (IBCAST)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Linear independent increment process with linear standard deviation function for degradation analysis\",\"authors\":\"Zhihua Wang, H. Fu, Yongbo Zhang\",\"doi\":\"10.1109/IBCAST.2013.6512137\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Degradation test is a feasible means to assess the failure time distributions of complex systems and highly reliable products. Generally speaking, the degradation process is essentially a continuous state random process. Motivated by the independent increment process theory, we propose a degradation analysis model, in which degradation is represented by an independent increment process with linear mean and standard deviation functions (quadratic variance function). A one-stage method is further developed to estimate the model parameters and failure time distribution. The methodology has been implemented in the analysis of GaAs laser degradation. The comparative results illustrate that the proposed method can be considered good and show a promise for future applications.\",\"PeriodicalId\":276834,\"journal\":{\"name\":\"Proceedings of 2013 10th International Bhurban Conference on Applied Sciences & Technology (IBCAST)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 2013 10th International Bhurban Conference on Applied Sciences & Technology (IBCAST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IBCAST.2013.6512137\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 2013 10th International Bhurban Conference on Applied Sciences & Technology (IBCAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IBCAST.2013.6512137","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Linear independent increment process with linear standard deviation function for degradation analysis
Degradation test is a feasible means to assess the failure time distributions of complex systems and highly reliable products. Generally speaking, the degradation process is essentially a continuous state random process. Motivated by the independent increment process theory, we propose a degradation analysis model, in which degradation is represented by an independent increment process with linear mean and standard deviation functions (quadratic variance function). A one-stage method is further developed to estimate the model parameters and failure time distribution. The methodology has been implemented in the analysis of GaAs laser degradation. The comparative results illustrate that the proposed method can be considered good and show a promise for future applications.