Optimal experimental plan for multi-level stress testing with log-location-scale regression under progressive Type-II censoring.
學年 113
學期 1
出版（發表）日期 2024-11-09
作品名稱 Optimal experimental plan for multi-level stress testing with log-location-scale regression under progressive Type-II censoring.
作品名稱（其他語言） 多階段壓力測試下對數位置尺度迴歸的最佳配置與逐步型II設限策略
著者 Lin, C. T., Li, Y. W., Chen, Z. W. and Bhattacharya, R.
單位
出版者
著錄名稱、卷期、頁數 Quality Technology & Quantitative Management
摘要 We discuss the optimal allocation based on a general Type-II progressive censored sample under a multi-level stress log-location-scale regression model. We propose to apply a meta-heuristic algorithm based on variable neighborhood search (VNS) approach to determine the optimal censoring schemes. It is found that our procedure with VNS algorithm can not only reduce the searching time significantly, but also give exactly the same optimal allocation and censoring schemes for small sample sizes as those obtained in an exhaustive search, and also reach the optimal or near-optimal objective values for large sample sizes within a reasonable computational time. The efficiency of the optimal allocation of units in a multi-level stress experiment is demonstrated through a real-life data set on the hardened steel specimens in a rolling contact fatigue test.
關鍵字 Constant-stress life-testing；Log-location-scale distribution；Optimal criteria；Variable neighborhood search algorithm
語言 en_US
ISSN
期刊性質 國外
收錄於 SCI
產學合作
通訊作者 Chien-Tai Lin
審稿制度 否
國別 USA
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/987654321/126742 )