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Deanship of Graduate Studies
Document Details
Document Type
:
Thesis
Document Title
:
RELIABILITY EVALUATION OF PWR
تقييم الموثوقية في مفاعل الماء المضغوط
Subject
:
Faculty of Engineering
Document Language
:
Arabic
Abstract
:
At present, the nuclear power plant enjoys high growth and is steadily increasing worldwide; this interest has resulted in maintaining the safety and reliability of the operation of power plants. This can be pursued through a new era of engineering, referred to as engineering discipline and reliability, which seeks to discover the cause of equipment failure, taking into account the provision of information on equipment failure to the quality analyst, designer, and operator to get rid of the causes of failure. Reliability engineering follows the correct approach to equipment failure and system technology analysis. This reliability assessment contributes to the high safety and availability of nuclear power plant systems. Component malfunction affects plant availability responsible for the reliability of power production. Leading to a huge economic loss. It is recommended that a complete system reliability analysis and design flaws be identified to improve component reliability and safety-related system to improve availability. Although various methods of reliability analysis are in use, the study uses the defect tree method to evaluate the Advanced Power Reactor (APR-1400). The error tree method coupled with a qualitative and quantitative approach is used to evaluate the probability of failure and reliability of the auxiliary water feeding system (AFWS) of the APR-1400. The results show the probability of failure for each component and the probability of failure of the AFWS system as a single unit when calculating the conservative state. Next, we added the preventive maintenance status and its impact on the probability of failure or reliability of AFWS after analyzed the results shows that the probability of failure decreased when maintenance is taken into account.
Supervisor
:
Prof. Mohammed Al Johani
Thesis Type
:
Master Thesis
Publishing Year
:
1442 AH
2020 AD
Co-Supervisor
:
Dr. Abdullftah Soliman
Added Date
:
Saturday, September 12, 2020
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
محمد رجاالله الطلحي
Altalhi, Mohammed Rajaallah
Researcher
Master
Files
File Name
Type
Description
46738.pdf
pdf
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