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System failure probability evaluation using fault tree analysis and expert opinions in intuitionistic fuzzy environment

, 2020
In quantitative fault tree analysis of a system, exact failure probability values of components are utilized to calculate the failure probability of the system. However, in many real world problems, it is problematic to get precise and sufficient failure
Mohit Kumar, Manvi Kaushik
semanticscholar   +1 more source

Evaluation of human error contribution to oil tanker collision using fault tree analysis and modified fuzzy Bayesian Network based CREAM

Ocean Engineering, 2019
Human error is a significant factor triggering oil tanker collisions. Drawbacks jeopardizing the effectiveness of human error analysis from traditional studies are spotted.
S. Ung
semanticscholar   +1 more source

Safety assessment of natural gas storage tank using similarity aggregation method based fuzzy fault tree analysis (SAM-FFTA) approach

, 2020
Fault tree analysis (FTA) is an important method to analyze the failure causes of engineering systems and evaluate their safety and reliability. In practical application, the probabilities of bottom events in FTA are usually estimated according to the ...
Hailong Yin   +5 more
semanticscholar   +1 more source

Risk assessment of uncertain random system - Level-1 and level-2 joint propagation of uncertainty and probability in fault tree analysis

Reliability Engineering & System Safety, 2020
Uncertainty analysis plays a significant role in risk assessment, which consists of two tasks: uncertainty expressions of input variables in the model and their propagations through the model built.
Lunhu Hu, R. Kang, Xing Pan, D. Zuo
semanticscholar   +1 more source

Fault Tree Analysis

2021
Fault tree or root cause analysis (FTA) is the most often used graphical deductive system analysis. It is by now the working horse in all fields with higher demands regarding reliability, availability, safety, and availability. It is increasingly also used in the domain of engineering resilience for assessing sufficient efficient response to expectable
openaire   +1 more source

Fault Tree Analysis (FTA)

2021
The fault tree analysis (FTA) is invaluable as this is the only deductive approach (i.e. top down or effect to cause approach) used to deal with safety and dependability modelling. This chapter describes its position within the probabilistic approaches in general and the Boolean family approaches in particular.
Jean-Pierre Signoret, Alain Leroy
openaire   +1 more source

Reliability study of motor controller in electric vehicle by the approach of fault tree analysis

, 2020
Electric vehicles will be increasingly used in the coming years, but the reliability of them is still a matter of concern today. In order to address this issue, much work have been done by scholars to improve the reliability of motor controllers. However,
X. Shu   +4 more
semanticscholar   +1 more source

Fuzzy fault tree analysis for coal burst occurrence probability in underground coal mining

Tunnelling and Underground Space Technology, 2019
Coal burst is one of the hazardous events that mining engineers have been struggling with it since past decades. This phenomenon has sudden and violent nature and almost occurs without warning.
Adel Mottahedi, M. Ataei
semanticscholar   +1 more source

Fault Tree Analysis

2011
The fault tree analysis is a standard method for improvement of reliability, which is applied in various sectors, such as nuclear industry, air and space industry, electrical industry, chemical industry, railway industry, transport, software reliability, and insurance.
openaire   +2 more sources

A Software Fault Tree Analysis Technique for Formal Requirement Specifications of Nuclear Reactor Protection Systems

Reliability Engineering & System Safety, 2020
Rigorous safety demonstration of software, as well as systems, is required when developing digital reactor protection systems in nuclear power plants. Various safety analysis techniques try to identify, analyze, and find remedies for potential hazards at
Sejin Jung, Junbeom Yoo, Young-Jun Lee
semanticscholar   +1 more source

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