کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5019261 1468201 2018 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Model selection for degradation modeling and prognosis with health monitoring data
ترجمه فارسی عنوان
انتخاب مدل برای مدل سازی تخریب و پیش آگهی با داده های نظارت بر سلامت
کلمات کلیدی
انتخاب مدل، پیش بینی پیش بینی، پیش بینی زندگی باقی مانده، روند تخریب، روند لوی،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی مکانیک
چکیده انگلیسی


- Overview of Lévy processes for degradation modeling and RUL prediction.
- Survey of classic criteria and prognostic criteria for model selection.
- Introduction of a new hybrid criterion for model selection.
- Discussion of performances and limits of criteria through numerical examples.

Health monitoring data are increasingly collected and widely used for reliability assessment and lifetime prediction. They not only provide information about degradation state but also could trace failure mechanisms of assets. The selection of a deterioration model that optimally fits in with health monitoring data is an important issue. It can enable a more precise asset health prognostic and help reducing operation and maintenance costs. Therefore, this paper aims to address the problem of degradation model selection including goals, procedure and evaluation criteria. Focusing on continuous degradation modeling including some currently used Lévy processes, the performance of classical and prognostic criteria are discussed through numerous numerical examples. We also investigate in what circumstances which methods perform better than others. The efficiency of a new hybrid criterion is highlighted that allows to take into account the information of goodness-of-fit of observation data when evaluating prognostic measure.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Reliability Engineering & System Safety - Volume 169, January 2018, Pages 105-116
نویسندگان
, , ,