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Uncertainty in fault tree analysis: A fuzzy approach
Fuzzy Sets and Systems, 1996Abstract In fault tree analysis, the uncertainties in the failure probability and/or failure rate of system components or basic events can be propagated to find the uncertainty in the overall system failure probability. The conventional approach is Monte-Carlo simulation by assuming a probability distribution for the failure probability. In addition,
P. V. Suresh, A. K. Babar, V. Venkat Raj
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Fuzzy importance in fault tree analysis
Fuzzy Sets and Systems, 1984In fault tree analysis, system success or failure can be described by the state of the top event, which is usually defined by a so-called structure function. In this paper, we attempt to simplify the calculation process of the structure function and to newly define the state of the top event by the membership function, using fuzzy sets theory ...
Hitoshi Furuta, Naruhito Shiraishi
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Fuzzy fault tree analysis: a review of concept and application
International Journal of Systems Assurance Engineering and Management, 2013Fault tree analysis (FTA) is a widely used method for analyzing a system’s failure logic and calculating overall reliability. However, application of conventional FTA has some shortcomings, e.g. in handling the uncertainties, allowing the use of linguistic variables, and integrating human error in failure logic model.
A Srividya, Srividya A, Verma A K
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Fault tree analysis with fuzzy gates
Computers and Industrial Engineering, 1997Abstract Fault tree analysis is an important tool analyzing system reliability. Fault trees consist of gates and events. Gates mean relationships between events. In fault tree analysis, AND, OR gates have been used as typical gates but it is often difficult to model the system structure with the two gates because in many cases we have not exact ...
HanSuk Pan, WonYoung Yun
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Fault tree analysis of fuzzy mechanical systems
Abstract The fault tree techniques involve the decomposition of a system into a logic diagram or fault tree in which certain primary events lead to a specified top event that signifies the total failure of the system. The fault trees can be used to find the minimal cut sets which, when coupled with the failure rates of the primary events, lead to an ...
James P. Sawyer, S.S. Rao
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Fuzzy Fault Tree Based Fault Detection
2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, 2012In this article, for the Linux operating system environment, with the characteristics of ambiguity and uncertainty for the occurrence probability of system failures, fuzzy theory is introduced into the fault tree analysis. The occurrence probability of basic events in the conventional fault tree is made fuzzy by introducing the concept of fuzzy sets ...
Yuening Kang +4 more
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Fault-Tree Analysis by Fuzzy Probability
IEEE Transactions on Reliability, 1983In the present approach based on a fuzzy fault-tree model, the maximum possibility of system failure is determined from the possibility of failure of each component within the system according to the extension principle. In calculating the possibility of system failure, some approximation is made for simplicity.
Tanaka, Hideo +3 more
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A Fuzzy Decision Tree for Fault Classification
Risk Analysis, 2008In plant accident management, the control room operators are required to identify the causes of the accident, based on the different patterns of evolution of the monitored process variables thereby developing. This task is often quite challenging, given the large number of process parameters monitored and the intense emotional states under which it is ...
ZIO, ENRICO +2 more
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Fuzzy Fault Tree Analysis for Structural Safety
Journal of Intelligent & Fuzzy Systems, 1996A tool that can be used to assess structural safety is fault tree analysis (FTA) , which depends primarily on quantitative information. However, in many cases, safety assessment of civil engineering structures is based on subjective judgement. To improve the traditional FTA, the authors use the fuzzy set concept and introduce fuzzy fault tree analysis (
Tomoyuki Fujino, Fabian C. Hadipriono
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