Parametric Sensitivity Analysis for Importance Measure on Failure Probability and Its Efficient Kriging Solution
المؤلفون المشاركون
Liu, Yong-shou
Zhang, Yishang
Yang, Xufeng
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-05-19
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
The moment-independent importance measure (IM) on the failure probability is important in system reliability engineering, and it is always influenced by the distribution parameters of inputs.
For the purpose of identifying the influential distribution parameters, the parametric sensitivity of IM on the failure probability based on local and global sensitivity analysis technology is proposed.
Then the definitions of the parametric sensitivities of IM on the failure probability are given, and their computational formulae are derived.
The parametric sensitivity finds out how the IM can be changed by varying the distribution parameters, which provides an important reference to improve or modify the reliability properties.
When the sensitivity indicator is larger, the basic distribution parameter becomes more important to the IM.
Meanwhile, for the issue that the computational effort of the IM and its parametric sensitivity is usually too expensive, an active learning Kriging (ALK) solution is established in this study.
Two numerical examples and two engineering examples are examined to demonstrate the significance of the proposed parametric sensitivity index, as well as the efficiency and precision of the calculation method.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Yishang& Liu, Yong-shou& Yang, Xufeng. 2015. Parametric Sensitivity Analysis for Importance Measure on Failure Probability and Its Efficient Kriging Solution. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1074461
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Yishang…[et al.]. Parametric Sensitivity Analysis for Importance Measure on Failure Probability and Its Efficient Kriging Solution. Mathematical Problems in Engineering No. 2015 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1074461
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Yishang& Liu, Yong-shou& Yang, Xufeng. Parametric Sensitivity Analysis for Importance Measure on Failure Probability and Its Efficient Kriging Solution. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1074461
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1074461
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