Analysis of the reliability of complex systems by using fuzzy fault tree

المؤلفون المشاركون

Subrie, Udie
Abd al-Zahrah, Shihab Ahmad

المصدر

Journal of Babylon University : Journal of Applied and Pure Sciences

العدد

المجلد 26، العدد 2 (28 فبراير/شباط 2018)، ص ص. 303-314، 12ص.

الناشر

جامعة بابل

تاريخ النشر

2018-02-28

دولة النشر

العراق

عدد الصفحات

12

التخصصات الرئيسية

الرياضيات

الملخص EN

Reliability is the probability of performing the function of an item over a given period of time under the operating conditions encountered .

A Fault tree analysis (FTA) is exceedingly used reliability guess tool for complex engineering systems.

The classic fault tree analysis method, which contains (AND, OR) gates can efficacious build an analytical model to represent combinations of component failures that cause the failure of a system.

In this paper, we analyze the fuzzy fault tree (FFT) to the qualitative analysis and quantitative analysis for the purpose of identifying the a minimal cut set and the statement of system failure through examples of complex systems (containing linking sequent and parallel).

This paper includes reliability analysis as one of its basic tasks

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Subrie, Udie& Abd al-Zahrah, Shihab Ahmad. 2018. Analysis of the reliability of complex systems by using fuzzy fault tree. Journal of Babylon University : Journal of Applied and Pure Sciences،Vol. 26, no. 2, pp.303-314.
https://search.emarefa.net/detail/BIM-1094048

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Subrie, Udie& Abd al-Zahrah, Shihab Ahmad. Analysis of the reliability of complex systems by using fuzzy fault tree. Journal of Babylon University : Journal of Applied and Pure Sciences Vol. 26, no. 2 (2018), pp.303-314.
https://search.emarefa.net/detail/BIM-1094048

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Subrie, Udie& Abd al-Zahrah, Shihab Ahmad. Analysis of the reliability of complex systems by using fuzzy fault tree. Journal of Babylon University : Journal of Applied and Pure Sciences. 2018. Vol. 26, no. 2, pp.303-314.
https://search.emarefa.net/detail/BIM-1094048

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 314

رقم السجل

BIM-1094048