Abstract
The paper focus on the methodology to elaborate a fuzzy logic system (FLS) used in safety analysis of an electric power protection system. The in FLS parameters Occurrence and Severity and the out FLS parameter Safety are proposed. Also an adequate rule based was elaborated. For safety analysis is used the event-tree method. To elaborate the event tree and to use the proposed FLS on each part of the tree, a software tool “Fuzzy event-tree analysis” (FETA) was created. We can obtain a “Safety” fuzzy set on each path of the tree. All the evaluated “Safety” fuzzy sets are introduced in an algorithm to elaborate the “General Safety” of the system.
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References
Bastani, F.B. and I.R. Chen: Reliability of Systems with Fuzzy-Failure Criterion. Proc.Ann. Reliability and Maintainability Symp (1994) 265–270.
Bowles, J.B. and C.E. Peláez: Application of Fuzzy Logic to Reliability Engineering. Proceedings of the IEEE 3 (1995) 99–107.
Dumitrescu, M. and A.P. Ulmeanu: A fuzzy algorithm for system safety evaluation. Second International conference on Mathematical methods in reliability, MMR’200, Bordeaux, France (2000) 253–256.
Kenarangui, R: Verbal rating of alternative sites using multiple critter weights. Trans. ANS, 33 (1979) 617–619.
Kenarangui, R.: Event-tree Analysis by Fuzzy Probability. IEEE Trans. on Reliability, 1(1991) 45–52.
Mendel, J.M: Fuzzy Logic Systems for Engineering: A Tutorial. Proceedings of the IEEE, 3. (1995) 345–377.
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Dumitrescu, M., Munteanu, T. (2001). A Fuzzy Logic System Used in Safety Analysis. In: Reusch, B. (eds) Computational Intelligence. Theory and Applications. Fuzzy Days 2001. Lecture Notes in Computer Science, vol 2206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45493-4_88
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DOI: https://doi.org/10.1007/3-540-45493-4_88
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Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-540-45493-9
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