کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
477926 1445982 2016 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Optimal burn-in procedure for mixed populations based on the device degradation process history
ترجمه فارسی عنوان
روش سوزاندن بهینه برای جمعیت های مخلوط بر اساس تاریخچه پروسه تخریب دستگاه
کلمات کلیدی
سوختن در، روند تخریب، فرایند گاما غیر همگن، جمعیت مختلط، بهینه سازی هزینه
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی


• This paper proposes a new degradation history-based burn-in procedure.
• The proposed procedure utilizes degradation process history of the item observed during burn-in.
• This paper provides a new ‘general insight/perspective’ on the burn-in models.
• This work opens new possibilities for further developments of similar approaches.

Burn-in is a method of ‘elimination’ of initial failures (infant mortality). In the conventional burn-in procedures, to burn-in an item means to subject it to a fixed time period of simulated use prior to actual operation. Then, the items which failed during burn-in are just scrapped and only those which survived the burn-in procedure are considered to be of satisfactory quality. Thus, when the items are subject to degradation phenomena, those whose degradation levels at the end of burn-in exceed a given failure threshold level are eliminated. In this paper, we consider a new burn-in procedure for items subject to degradation phenomena and belonging to mixed populations composed of a weak and a strong subpopulation. The new procedure is based on the ‘whole history’ of the degradation process of an item periodically observed during the burn-in and utilizes the information contained in the observed degradation process to assess whether the item belongs to the strong or weak subpopulation. The problem of determining the optimal burn-in parameters is considered and the properties of the optimal parameters are derived. A numerical example is also provided to illustrate the theoretical results obtained in this paper.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Operational Research - Volume 251, Issue 3, 16 June 2016, Pages 988–998
نویسندگان
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