Two-stage maximum likelihood estimation procedure for parallel constant-stress accelerated degradation tests.
學年 109
學期 2
出版（發表）日期 2021-06-01
作品名稱 Two-stage maximum likelihood estimation procedure for parallel constant-stress accelerated degradation tests.
作品名稱（其他語言）
著者 Cheng-Hsun Wu;Tzong-Ru Tsai;Ming-Yung Lee
單位
出版者
著錄名稱、卷期、頁數 IEEE Transactions on Reliability 70(2), p.446-458
摘要 Abstract—The parallel constant-stress accelerated degradation test (PCSADT) is a popular method used to assess the reliability of highly reliable products in a timely manner. Although the maximum likelihood (ML) method is commonly utilized to estimate the PCSADT parameters, the explicit forms of the ML estimators, and their corresponding Fisher information matrix are usually difficult to obtain. In this article, we propose a two-stage ML (TSML) estimation procedure for a time-transformed model. In the proposed procedure, all the TSML estimators not only have explicit expressions but also possess consistency and asymptotic normality. Hence, this method is tractable for reliability engineers. Furthermore, the TSML estimators can provide constructive information about the unknown accelerated relationship law. The proposed method is also applied to analyze light-emitting diode data and compare the performance of our estimation procedures with the ML method via simulations.
關鍵字 Accelerated relationship law;maximum likelihood estimation;parallel constant-stress accelerated degradation test;time-transformed model;two-stage estimation; Wiener process.
語言 en_US
ISSN 0018-9529;1558-1721
期刊性質 國外
收錄於 SCI Scopus
產學合作
通訊作者
審稿制度 是
國別 USA
公開徵稿
出版型式 ,電子版,紙本
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