Results 151 to 160 of about 35,032 (199)

Hybrid fault tree analysis using fuzzy sets

Reliability Engineering & System Safety, 1997
Abstract In conventional fault tree analysis (FTA), the ambiguous and imprecise events such as human errors tend not to be handled effectively. To overcome this disadvantage, a hybrid approach employing fuzzy set evaluation and probabilistic estimation for FTA is proposed to evaluate abnormal events.
Ching-Torng Lin, Mao-Jiun J. Wang
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Fuzzy Fault Tree Analysis for Structural Safety

Journal of Intelligent & Fuzzy Systems, 1996
A 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 (
Fujino, Tomoyuki, Hadipriono, Fabian C.
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Multilevel fault tree analysis using fuzzy numbers

Computers & Operations Research, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kim, C. E., Ju, Y. J., Gens, M.
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Risk Analysis: Fuzzy Cognitive Maps Vs Fault Trees

Journal of Computer and Systems Sciences International, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Fault Diagnosis Analysis of Gear Based on Fuzzy Fault Tree

Advanced Materials Research, 2011
The complexity of modern equipment is higher than before, thus it cannot meet the need of speedy fault diagnosis to use single diagnosis pattern. According to these troubles, a fault tree was introduced to analyze fault information of gear. Fault tree analysis is a logical and diagrammatic method to evaluate the probability of an accident resulting ...
Zheng Yao, Zhao Hua Wang
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Failure probability analysis by employing fuzzy fault tree analysis

International Journal of System Assurance Engineering and Management, 2017
A significant number of accidents occur every year in chemical plants because of the failure of components. In order to manage this risk, fault tree analysis (FTA), a well-known method, was employed for failure probability analysis in the mentioned field. A complete access to the failure data is vital for quantitative FTA. There is always a shortage of
Mohammad Yazdi, Farzaneh Nikfar, Mahnaz Nasrabadi   +2 more
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New gate operations of fuzzy fault tree analysis

Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference, 2002
Fault tree analysis (FTA) is a widely used method for system analysis in which a particular type of fault is expanded deductively to several causes (events) and basic causes (events) are determined. The representation of the relationship between the occurrence of an upper event and that of the lower events is called a gate operation.
T. Fujino, F.C. Hadipriono
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Fault tree analysis based on fuzzy logic

Computers & Chemical Engineering, 1990
Abstract This paper considers the relative frequencies of basic events determining the safety of such a system as fuzzy numbers and uses instead of probabilistic possibilistic considerations for evaluating the mean values and the tolerances for the frequency of head events. Using standard approximations for the membership function expressions for the
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Fuzzy fault tree analysis of a power transformer

2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, 2012
Power transformer is an essential and integral part of any power system. Failure of power transformer affects the working of entire system. Since failure probability is smaller as compared to success, it is easier to carry out the failure analysis for estimating the success probability.
Sanchit Saran Agarwal, M. L. Kansal
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GIS reliability analysis based trapezoid fuzzy fault tree

2010 18th International Conference on Geoinformatics, 2010
GIS reliability refers to the ability to complete the requirements under the specified conditions and time. In this paper, there are five elements including object, conditions of use, use of time, functions and capabilities, to evaluate GIS reliability proposed by the combination in a engineering GIS.
Shengwu Hu, Xiaosan Ge
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