کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7195107 1468192 2018 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Improved inverse Gaussian process and bootstrap: Degradation and reliability metrics
ترجمه فارسی عنوان
بهبود فرآیند گاوسی معکوس و بوت استرپ: معیارهای تجزیه و قابلیت اطمینان
کلمات کلیدی
بهبود فرایند گاوس معکوس، تنزل، قابلیت اطمینان، بوت استرپ، زندگی باقی مانده،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی مکانیک
چکیده انگلیسی
The inverse Gaussian (IG) process is commonly used in modeling monotonically increasing degradation processes. Traditional degradation modeling considers the process parameters as functions of time and environmental conditions. However, in many practical situations, the degradation increment in the next time interval may depend on degradation state at the current time interval. Therefore, in this paper, we propose an improved inverse Gaussian (IIG) process which considers the dependency between degradation increments and prior degradation states. Reliability metrics of the IIG process are estimated and validated using crack length growth data as well as simulated degradation data. Results show that the proposed model provides more accurate reliability metrics than the IG process model. Bootstrap of degradation increments or detrended degradation increments is introduced as a supplementary method to estimate the remaining life probability interval.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Reliability Engineering & System Safety - Volume 178, October 2018, Pages 269-277
نویسندگان
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