A Sequential Probability Ratio Based Lifetime Prediction Method for Electronic Systems
The lifetime prediction of electronic systems is of utmost significance and holds a crucial position. Sequential probability ratio (SPR), as a statistical approach, is employed in sequential analysis for making decisive judgments. Here, a novel life prediction method based on sequential probability...
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Published in | 2024 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) pp. 355 - 359 |
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Main Authors | , , , , , |
Format | Conference Proceeding |
Language | English |
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IEEE
26.07.2024
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Abstract | The lifetime prediction of electronic systems is of utmost significance and holds a crucial position. Sequential probability ratio (SPR), as a statistical approach, is employed in sequential analysis for making decisive judgments. Here, a novel life prediction method based on sequential probability ratio is put forward. This method specifically addresses the issue that relying on a single parameter alone is not comprehensive enough, and thus, it integrates multiple health degrees. The experimental outcomes clearly demonstrate the efficacy and validity of this method. |
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AbstractList | The lifetime prediction of electronic systems is of utmost significance and holds a crucial position. Sequential probability ratio (SPR), as a statistical approach, is employed in sequential analysis for making decisive judgments. Here, a novel life prediction method based on sequential probability ratio is put forward. This method specifically addresses the issue that relying on a single parameter alone is not comprehensive enough, and thus, it integrates multiple health degrees. The experimental outcomes clearly demonstrate the efficacy and validity of this method. |
Author | Yu, Yang Li, Dongpeng Li, Hao Wang, Shenhang Liu, Cuiyu Chen, Jingyi |
Author_xml | – sequence: 1 givenname: Cuiyu surname: Liu fullname: Liu, Cuiyu email: 19S001006@stu.hit.edu.cn organization: School of Electronic and Information Engineer, Harbin Institute of Technology,Harbin,China – sequence: 2 givenname: Hao surname: Li fullname: Li, Hao email: 15311459698@163.com organization: Beijing Aerospace Automatic Control Institute,Beijing,China – sequence: 3 givenname: Dongpeng surname: Li fullname: Li, Dongpeng email: leedongpeng@outlook.com organization: Beijing Aerospace Automatic Control Institute,Beijing,China – sequence: 4 givenname: Shenhang surname: Wang fullname: Wang, Shenhang email: 0110320wang@sina.com organization: Beijing Aerospace Automatic Control Institute,Beijing,China – sequence: 5 givenname: Yang surname: Yu fullname: Yu, Yang email: yuyanghit@hit.edu.cn organization: School of Electronic and Information Engineer, Harbin Institute of Technology,Harbin,China – sequence: 6 givenname: Jingyi surname: Chen fullname: Chen, Jingyi email: chen988ling@126.com organization: School of Electronic and Information Engineer, Harbin Institute of Technology,Harbin,China |
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Snippet | The lifetime prediction of electronic systems is of utmost significance and holds a crucial position. Sequential probability ratio (SPR), as a statistical... |
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StartPage | 355 |
SubjectTerms | electronic systems life prediction Prediction methods Probability Sensors Sequential analysis Sequential probability ratio (SPR) |
Title | A Sequential Probability Ratio Based Lifetime Prediction Method for Electronic Systems |
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