A Novel Idea for Optimizing Condition-Based Maintenance Using Genetic Algorithms and Continuous Event Simulation Techniques
المؤلفون المشاركون
Zhang, Faping
Butt, Shahid Ikramullah
Siddiqui, Mansoor Ahmed
Baqai, Aamer Ahmed
Lu, Jiping
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-01-31
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Effective maintenance strategies are of utmost significance for system engineering due to their direct linkage with financial aspects and safety of the plants’ operation.
At a point where the state of a system, for instance, level of its deterioration, can be constantly observed, a strategy based on condition-based maintenance (CBM) may be affected; wherein upkeep of the system is done progressively on the premise of monitored state of the system.
In this article, a multicomponent framework is considered that is continuously kept under observation.
In order to decide an optimal deterioration stage for the said system, Genetic Algorithm (GA) technique has been utilized that figures out when its preventive maintenance should be carried out.
The system is configured into a multiobjective problem that is aimed at optimizing the two desired objectives, namely, profitability and accessibility.
For the sake of reality, a prognostic model portraying the advancements of deteriorating system has been employed that will be based on utilization of continuous event simulation techniques.
In this regard, Monte Carlo (MC) simulation has been shortlisted as it can take into account a wide range of probable options that can help in reducing uncertainty.
The inherent benefits proffered by the said simulation technique are fully utilized to display various elements of a deteriorating system working under stressed environment.
The proposed synergic model (GA and MC) is considered to be more effective due to the employment of “drop-by-drop approach” that permits successful drive of the related search process with regard to the best optimal solutions.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Siddiqui, Mansoor Ahmed& Butt, Shahid Ikramullah& Baqai, Aamer Ahmed& Lu, Jiping& Zhang, Faping. 2017. A Novel Idea for Optimizing Condition-Based Maintenance Using Genetic Algorithms and Continuous Event Simulation Techniques. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1190922
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Siddiqui, Mansoor Ahmed…[et al.]. A Novel Idea for Optimizing Condition-Based Maintenance Using Genetic Algorithms and Continuous Event Simulation Techniques. Mathematical Problems in Engineering No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1190922
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Siddiqui, Mansoor Ahmed& Butt, Shahid Ikramullah& Baqai, Aamer Ahmed& Lu, Jiping& Zhang, Faping. A Novel Idea for Optimizing Condition-Based Maintenance Using Genetic Algorithms and Continuous Event Simulation Techniques. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1190922
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1190922
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر