期刊論文
| 學年 | 110 |
|---|---|
| 學期 | 1 |
| 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 | en_US |
| ISSN | 1099-1638 |
| 期刊性質 | 國外 |
| 收錄於 | SCI EI Scopus |
| 產學合作 | |
| 通訊作者 | Liang Wang |
| 審稿制度 | 是 |
| 國別 | GBR |
| 公開徵稿 | |
| 出版型式 | ,電子版,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/121327 ) |