教師資料查詢 | 類別: 期刊論文 | 教師: 吳碩傑 Shuo-Jye Wu (瀏覽個人網頁)

標題:Reliability analysis of Weibull multicomponent system with stress-dependent parameters from accelerated life data
學年
學期
出版(發表)日期2021/10/01
作品名稱Reliability analysis of Weibull multicomponent system with stress-dependent parameters from accelerated life data
作品名稱(其他語言)
著者Wang, L.; Zhang, C.; Tripathi, Y. M.; Dey, S.; Wu, S.-J.
單位
出版者
著錄名稱、卷期、頁數Quality and Reliability Engineering International 37(6), p.2603-2621
摘要In this paper, reliability estimation of multicomponent system under a multilevel accelerated life testing. When the lifetime of components follows Weibull distribution, the problem of point and interval estimates are discussed from different perspectives. Under a general life-stress assumption that there are multiple nonconstant and stress-dependent scale and shape parameters, the maximum likelihood estimates of unknown parameters along with associated existence and uniqueness are established. Approximate confidence intervals are constructed correspondingly via expected Fisher information matrix. Furthermore, some pivotal quantities are constructed and alternative generalized point and interval estimates are also proposed for comparison. In addition, predictive intervals for the lifetime of the multicomponent system are discussed under classical and generalized pivotal approaches, respectively. The results show that the proposed generalized estimates are superior to the conventional likelihood approach in terms of the accuracy. A real data example is carried out to illustrate the implementations of the proposed methods.
關鍵字accelerated life test;generalized estimation;maximum likelihood estimation;multicomponent system;Weibull distribution
語言英文(美國)
ISSN1099-1638
期刊性質國外
收錄於SCI;EI;
產學合作
通訊作者Liang Wang
審稿制度
國別英國
公開徵稿
出版型式,電子版,紙本
相關連結
SDGs
  • 產業創新與基礎設施
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