Application of Accelerated Failure Time Models in Reliability Analysis Considering Dynamic Environmental Conditions
محل انتشار: چهارمین کنفرانس بین المللی مهندسی قابلیت اطمینان
سال انتشار: 1395
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 484
فایل این مقاله در 9 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
RELI04_063
تاریخ نمایه سازی: 1 مرداد 1397
چکیده مقاله:
Historical reliability data are commonly used forreliability analysis of production plants. For this purpose,several handbooks and databases are developed in oiland gas industry, where reliability data of similar oil andgas equipment units are collected. The use of such datawithout considering the aging effects of components dueto varying environmental conditions leads to unreliableresults. Developing physics-based models to describeequipment failure rate, as a function of the elements ofthe operating environment through reliability tests, if notimpossible, can be costly and time-consuming. In thisstudy, the concept of accelerated failure time models isadapted to propose an approach, where historicalreliability data are analysed while the aging impact ofdynamic environmental conditions on the degradation ofcomponents is accounted for. That is, the effects ofenvironmental conditions are included as multiplicativefactors reducing component failure times. The underlyingassumption of this study is that environmental conditionsdo not change component failure mechanisms.Additionally, this study assumes that correctivemaintenance activities remove all the degradation fromcomponents so that historical failure times can beconsidered independent and identical. The results of thisstudy illustrate that the reliability performance ofcomponents under varying environmental conditionsdiffers considerably from those exposed to normalconditions.
کلیدواژه ها:
نویسندگان
Masoud Naseri
Department of Engineering and Safety, UiT – The Arctic University of Norway, N-۹۰۳۷ Tromsø, Norway
Javad Barabady
Department of Engineering and Safety, UiT – The Arctic University of Norway, N-۹۰۳۷ Tromsø, Norway