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Intelligent risk assessment and early warning for human-machine-environment coupling in coal preparation plants. [PDF]
Zhao Y, Hu Y, Shi Q.
europepmc +1 more source
Integrated Fault Tree and Case Analysis for Equipment Conventional Fault IETM Diagnosis. [PDF]
Wu J +6 more
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Data anomaly repair method based on fuzzy voting and multi-segment interpolation. [PDF]
Lv Y, Han Q, Xue S.
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Fuzzy fault tree analysis: a review of concept and application
Fault 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, Verma A K, Srividya A
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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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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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A new method for fuzzy fault tree analysis
It is well-known that the conventional fault tree analysis using probabilities has been found to be inadequate to handle the imprecision of input failure data and the uncertainties associated with the modelling particularly in relation to dependency of failures.
Misra, K. B., Weber, G. G.
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