期刊論文
| 學年 | 108 |
|---|---|
| 學期 | 2 |
| 出版（發表）日期 | 2020-06-13 |
| 作品名稱 | Model selection methods for reliability assessment based on interval-censored field failure samples |
| 作品名稱（其他語言） | |
| 著者 | Tzong-Ru Tsai; Sih-Hua Wu; Yan Shen |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | International Journal of Reliability, Quality and Safety Engineering v.27(6), 2050018 |
| 摘要 | Incomplete field failure data from automated production are often applied for evaluating the system reliability. But the evaluation could be impacted by the uncertainty of the product’s lifetime distribution, which is usually predetermined but may be misspecified. In this paper, we assume that the system lifetime distribution follows a location-scale family with several candidates instead of a certain distribution. Two model selection procedures are proposed to assign the most likely candidate distribution from a pool of the location-scale distributions based on interval-censored field failure samples. The maximum likelihood estimates (MLE) of parameters of the candidate distribution are estimated by using the Newton–Raphson method and the MLE of a quartile is assigned as the reliability measure for assessing the reliability of systems. To illustrate the applications of the proposed model selection procedures, an example of high-speed motor with interval-censored field failure data is given. Monte Carlo simulations are carried out to evaluate the performance of the proposed model selection procedures. Simulation results show that the proposed methods are efficient for model identification and can provide reliable reliability assessment. |
| 關鍵字 | Akaike information criterion;Bayesian information criterion;field failure data;location-scale family;maximum likelihood estimation |
| 語言 | en |
| ISSN | 1793-6446 |
| 期刊性質 | 國外 |
| 收錄於 | ESCI Scopus |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 是 |
| 國別 | SGP |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/118889 ) |