Academic literature on the topic 'Dynamic fault tree'

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Journal articles on the topic "Dynamic fault tree"

1

Čepin, Marko, and Borut Mavko. "A dynamic fault tree." Reliability Engineering & System Safety 75, no. 1 (2002): 83–91. http://dx.doi.org/10.1016/s0951-8320(01)00121-1.

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2

Byun, Sungil, and Dongik Lee. "System Reliability Evaluation using Dynamic Fault Tree Analysis." IEMEK Journal of Embedded Systems and Applications 8, no. 5 (2013): 243–48. http://dx.doi.org/10.14372/iemek.2013.8.5.243.

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3

Yang, Li Ping. "Analysis on Dynamic Fault Tree Based on Fuzzy Set." Applied Mechanics and Materials 110-116 (October 2011): 2416–20. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.2416.

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In case of fault tree analysis of large complex system, the probability of bottom event in dynamic fault tree is uncertain in some cases. To address the problem, the paper presented a dynamic fault tree analysis method based on fuzzy set computation. The method separates logic attributes and timing attributes of dynamic logic gates. It can convert dynamic fault tree into static fault tree not considering timing constraints and obtain minimum cut set of static fuzzy fault tree with set operations, then the concept of minimum cut set is extended to dynamical minimum cut sequence. Thus, the dynam
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4

Chang, Sheng Yung, Cheng Ren Lin, Chuei-Tin Chang, and Shuh Woei Yu. "On-Line Fault Diagnosis Using Dynamic Fault Tree." IFAC Proceedings Volumes 34, no. 27 (2001): 167–72. http://dx.doi.org/10.1016/s1474-6670(17)33586-3.

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5

Wei, Shang Guan, Jie Xiao, Bai Gen Cai, and Jian Wang. "The Reliability Analysis and Simulation Method of Train Control System Based on Markov." Applied Mechanics and Materials 556-562 (May 2014): 2333–36. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2333.

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This paper mainly studies the reliability of trackside subsystem of the CTCS-3 train control system. Dynamic fault tree method is used for reliability analysis. The fault tree is decomposed into static and dynamic sub-trees. Based on Markov method, precise quantitative analysis is performed on the dynamic sub-tree. The failure probability of the trackside subsystem is calculated. Through analyzing the structural importance degree and pivotal importance degree of the bottom events, suggestions for improving the reliability of the system are concluded.
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6

Duan, Rongxing, and Jinghui Fan. "Reliability Evaluation of Data Communication System Based on Dynamic Fault Tree under Epistemic Uncertainty." Mathematical Problems in Engineering 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/674804.

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Fault tree analysis is a well-structured, precise, and powerful tool for system evaluation. However, the conventional approach has been found to be inadequate to deal with the absence of fault data, failure dependency, and uncertainty problems. This paper presents a comprehensive study on the evaluation of data communication system (DCS) using dynamic fault tree approach based on fuzzy set. It makes use of the advantages of the dynamic fault tree for modelling, fuzzy set theory for handling uncertainty, and Bayesian network (BN) for inference ability. Specifically, it adopts expert elicitation
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7

Dugan, J. B., S. J. Bavuso, and M. A. Boyd. "Dynamic fault-tree models for fault-tolerant computer systems." IEEE Transactions on Reliability 41, no. 3 (1992): 363–77. http://dx.doi.org/10.1109/24.159800.

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8

Liu, Meng-Yun, Ding She, and Jing-Quan Liu. "ICONE23-1293 APPLICATION OF SUBSET SIMULATION METHODS TO DYNAMIC FAULT TREE ANALYSIS." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2015.23 (2015): _ICONE23–1—_ICONE23–1. http://dx.doi.org/10.1299/jsmeicone.2015.23._icone23-1_139.

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9

Guo, Wei Gang, Wei Han, and Shu Yan Liu. "Dynamic Fault Tree Based on Weibull Distribution." Advanced Materials Research 308-310 (August 2011): 1322–27. http://dx.doi.org/10.4028/www.scientific.net/amr.308-310.1322.

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The fault tree analysis is a widely used method for evaluation of systems reliability and safety. Dynamic fault tree (DFT) extend traditional FT by defining additional gates called dynamic gates to model these complex interactions. Markov models are used in solving dynamic gates. However, state space becomes too large for calculation with Markov models when the number of gate inputs increases. In addition, Markov model is applicable for only exponential failure and repair distributions. But in engineering, the failure mode is mostly obeyed to weibull distribution for mechanism and electronic u
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10

Peng, Fei. "Study on Transformer Fault Diagnosis Based on Dynamic Fault Tree." Journal of Electrical and Electronic Engineering 3, no. 5 (2015): 133. http://dx.doi.org/10.11648/j.jeee.20150305.16.

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