کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7195580 1468228 2015 20 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An opportunistic condition-based maintenance policy for offshore wind turbine blades subjected to degradation and environmental shocks
ترجمه فارسی عنوان
سیاست حفظ حریم خصوصی مبتنی بر شرایط فرصت طلب برای تیغه های توربین بادی دریایی در معرض تخریب و شوک های زیست محیطی است
کلمات کلیدی
نگهداری اپورتونیستی، تعمیر و نگهداری مبتنی بر شرایط، تنزل، شوک محیطی، انرژی باد ساحلی،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی مکانیک
چکیده انگلیسی
Offshore wind turbine blades are subject to multiple types of internal and external damages. Internal damages (such as fatigue, wear and cracks) are generally caused by system degradation, whereas the external damages (such as icing, wind and wave shocks) result from harsh marine environments. In this paper, we investigate an optimal opportunistic condition-based maintenance (OCBM) policy for a multi-bladed offshore wind turbine system subjected to stress corrosion cracking (SCC) and environmental shocks. When the length of a crack in a blade reaches critical size D, the blade breaks and it has to be replaced by a new one. An environmental shock is minor with probability 1−p and catastrophic with probability p (0≤p≤1). A minor shock causes an instant drop in power output without resulting in any system failure, whereas a catastrophic shock stops the wind turbine and requires system replacement. When the length of a crack in one of the blades exceeds a threshold d (0). The problem is to simultaneously determine the optimal control parameters d⁎ and T⁎ such that the average long-run maintenance cost per blade per unit time is minimized. The explicit expression of the objective function is derived and under certain conditions, the existence and uniqueness of the optimal solution are shown for the infinite-horizon case. The proposed maintenance model is tested on a three-bladed wind turbine and its performance over the system life cycle is evaluated using a Monte-Carlo simulation technique.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Reliability Engineering & System Safety - Volume 142, October 2015, Pages 463-471
نویسندگان
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