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Journal articles on the topic 'Fuzzy Fault Tree Analysis'

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Published: 4 June 2021

Last updated: 15 February 2022

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1

Yao, Zheng, and Zhao Hua Wang. "Fault Diagnosis Analysis of Gear Based on Fuzzy Fault Tree." Advanced Materials Research 204-210 (February 2011): 1994–97. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.1994.

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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 from sequences and combinations of faults and failure events. In conventional fault tree analysis, probabilities and consequences are treated as exact values. In many engineering applications, however, it is difficult to evaluate the probabilities and consequences from past experiences, so a fuzzy set defined in probability is proposed. The principle of fuzzy diagnosis is taken as basics and symptom sets and faults sets are extracted through fault tree analysis. Experiments show this method is effective for fault diagnosis of gear.

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2

Deshpande, Ashok. "Fuzzy fault tree analysis: revisited." International Journal of System Assurance Engineering and Management 2, no. 1 (March 2011): 3–13. http://dx.doi.org/10.1007/s13198-011-0049-6.

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3

Zhang, Xiao Nan, An Xin Liu, Qing Zhen Gao, Xing Qing, and Xing Chang. "Engineering Machinery Engine System Reliability Analysis." Advanced Materials Research 139-141 (October 2010): 2587–90. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.2587.

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It exists in complexity and fuzziness in structure and failure character of engineering machinery complex system. To solve the problem, fuzzy theory was introduced into fault tree analysis, and then the steps, principles and methods of fuzzy fault tree are determined. Based on the analysis of engineering machinery typical engine systemic structure and fault criterion, a fuzzy fault tree is established. Used a fuzzy mathematics method of reliability analysis with fuzzy fault rate and the median method of fuzzy significance analysis, the fuzzy fault rate and fuzzy significance of parts and subsystems is calculated. The result indicates that this method can solve the fuzziness problem of failure criterion and data in fault tree analysis. The result provides valuable reference for the reliability analysis.

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4

Pan, HanSuk, and WonYoung Yun. "Fault tree analysis with fuzzy gates." Computers & Industrial Engineering 33, no. 3-4 (December 1997): 569–72. http://dx.doi.org/10.1016/s0360-8352(97)00195-2.

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5

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 dynamic fault tree was analyzed in both qualitative and quantitative aspects, which solve the problem that it is difficult to assign value of event probability in previously process.

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6

Kumar, Mohit, Shiv Prasad Yadav, and Surendra Kumar. "Reliability Analysis of Computer Security System Based on Intuitionistic Fuzzy Fault Tree." Advanced Materials Research 403-408 (November 2011): 3495–502. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.3495.

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Fault tree analysis has been widely used for providing logical functional relationships among subsystems and components of a system and identifying the root causes of the undesired failures in a system. This paper analyzes the reliability of Computer Security System through the method of intuitionistic fuzzy fault tree, which is based on L-R type triangular intuitionistic fuzzy set. In this paper, a new approach of intuitionistic fuzzy fault-tree analysis is proposed to calculate fault interval of system components from integrating expert’s knowledge and experience in terms of providing the possibility of failure of bottom events and to find the most critical system component that affects the reliability of the system, which could be used for managerial decision-making. For numerical verification, the proposed method is applied for the failure analysis problem of Computer Security System to generate the fault-tree, fault-tree nodes, then directly compute the intuitionistic fuzzy fault-tree interval, traditional reliability, and the intuitionistic fuzzy reliability interval.

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7

Zhang, Lu Lu, Rui Jun Zhang, and Xin Xin Si. "Importance Analysis Method of Fuzzy Fault Tree Based on T-S Modle and Application in Hydraulic System." Applied Mechanics and Materials 470 (December 2013): 707–11. http://dx.doi.org/10.4028/www.scientific.net/amm.470.707.

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In order to overcome the shortage of dealing with fuzzy information and uncertainty of fault logical relationship in traditional importance measures, the fuzzy set theory is presented to fault tree, using fuzzy number to describe the fault states of system and components, and using fuzzy subsets to denote the fault rates, a fuzzy fault tree of T-S modle was established. And a model of fuzzy fault tree was established and a T-S fuzzy importance analysis method was presented on the basis of T-S analysis method. The method is applied in the importance analysis of hydraulic system, and proving that the algorithms are feasible.

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8

TSUJIMURA, Yasuhiro, Mitsuo GEN, and ChangEun KIM. "Fuzzy Fault Tree Analysis and Its Applications." Journal of Japan Society for Fuzzy Theory and Systems 5, no. 5 (1993): 1000–1013. http://dx.doi.org/10.3156/jfuzzy.5.5_1000.

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9

Fujino, Tomoyuki, and Fabian C. Hadipriono. "Fuzzy Fault Tree Analysis for Structural Safety." Journal of Intelligent and Fuzzy Systems 4, no. 4 (1996): 269–80. http://dx.doi.org/10.3233/ifs-1996-4403.

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10

Lin, Ching-Torng, and Mao-Jiun J. Wang. "Hybrid fault tree analysis using fuzzy sets." Reliability Engineering & System Safety 58, no. 3 (December 1997): 205–13. http://dx.doi.org/10.1016/s0951-8320(97)00072-0.

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11

Kim, C. E., Y. J. Ju, and M. Gens. "Multilevel fault tree analysis using fuzzy numbers." Computers & Operations Research 23, no. 7 (July 1996): 695–703. http://dx.doi.org/10.1016/0305-0548(95)00070-4.

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12

Singer, D. "Fault tree analysis based on fuzzy logic." Computers & Chemical Engineering 14, no. 3 (March 1990): 259–66. http://dx.doi.org/10.1016/0098-1354(90)87064-v.

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13

Liang, Gin-Shuh, and Mao-Jiun J. Wang. "Fuzzy fault-tree analysis using failure possibility." Microelectronics Reliability 33, no. 4 (March 1993): 583–97. http://dx.doi.org/10.1016/0026-2714(93)90326-t.

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14

Sawyer, James P., and S. S. Rao. "Fault tree analysis of fuzzy mechanical systems." Microelectronics Reliability 34, no. 4 (April 1994): 653–67. http://dx.doi.org/10.1016/0026-2714(94)90030-2.

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15

Boryczko, Krzysztof, and Barbara Tchórzewska-Cieślak. "Application of Fuzzy Fault Tree in Risk Analysis of Collective Water Supply Systems / ZASTOSOWANIE ROZMYTYCH DRZEW NIEZDATNOŚCI W ANALIZIE RYZYKA SYSTEMÓW ZBIOROWEGO ZAOPATRZENIA W WODĘ." Journal of KONBiN 24, no. 1 (December 1, 2012): 13–24. http://dx.doi.org/10.2478/jok-2013-0049.

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Abstract Application of the theory of using fuzzy fault trees is the first attempt to be used in collective water supply systems safety assessment in Poland. The paper presents a method of fault tree using fuzzy set theory. Fuzziness of basic logic gates used in the fault tree method is presented. The paper contains an application example of the method.

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16

Ding, Feng, Jun Qiang Dang, and Jiu Cheng Yin. "Application of Fuzzy Fault Tree Analysis in Aero-Engine." Applied Mechanics and Materials 602-605 (August 2014): 857–61. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.857.

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In view of the situation that the traditional fault tree is difficult to determine the probability of the basic events without considering the inherent uncertainly and imprecision of each basic event, the concept of fuzzy set is introduced which transforms various kinds of fuzzy numbers into triangular fuzzy ones to describe the probability of bottom events. Blurred the probability of the basic events in traditional fault tree, then the established fault tree is calculated and analyzed quantitatively, the fuzzy probability of top event of aero-engine can be gotten. The probability importance degree of each basic event under different sets is calculated and sorted for positioning the fault source precisely. Finally, the bottom events with higher probability will be obtained. The case analysis results show that the method gives a direct guiding significance for fault diagnosis of aero-engine, but also has a positive role for improving the reliability of the system.

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17

Wang, Jia Chun, Jin Xiu Zhang, Qing Fa Liu, and Chong Min Jiang. "The Fuzzy Fault Tree Analysis of Rotary Working Table for C5250 Vertical Lathe." Advanced Materials Research 588-589 (November 2012): 1718–22. http://dx.doi.org/10.4028/www.scientific.net/amr.588-589.1718.

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The rotary working table of C5250 vertical lathe requires high reliability. Based on the Fault Mode and Effect Analysis, the fault-tree of “guide surface lapping damage about rotary table” was established. To solve the problem of failure probability of bottom events obtaining insufficiently, fuzzy set theory was introduced into the fault tree analysis method. The failure probability distribution of bottom events was described as triangular fuzzy number. The occurrence probability distribution of the top event and the fuzzy importance of basic events were calculated according to fuzzy calculation rule. Through the analysis, the weak reliability links of the fault tree such as hydraulic pump, oil film thickness measuring installation and hydraulic valve were found out.

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18

Yazdi, Mohammad, Farzaneh Nikfar, and Mahnaz Nasrabadi. "Failure probability analysis by employing fuzzy fault tree analysis." International Journal of System Assurance Engineering and Management 8, S2 (February 15, 2017): 1177–93. http://dx.doi.org/10.1007/s13198-017-0583-y.

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19

Ferdous, Refaul, Faisal Khan, Brian Veitch, and Paul R. Amyotte. "Methodology for computer aided fuzzy fault tree analysis." Process Safety and Environmental Protection 87, no. 4 (July 2009): 217–26. http://dx.doi.org/10.1016/j.psep.2009.04.004.

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20

Kabir, Sohag, Martin Walker, Yiannis Papadopoulos, Erich Rüde, and Peter Securius. "Fuzzy temporal fault tree analysis of dynamic systems." International Journal of Approximate Reasoning 77 (October 2016): 20–37. http://dx.doi.org/10.1016/j.ijar.2016.05.006.

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21

Suresh, P. V., A. K. Babar, and V. Venkat Raj. "Uncertainty in fault tree analysis: A fuzzy approach." Fuzzy Sets and Systems 83, no. 2 (October 1996): 135–41. http://dx.doi.org/10.1016/0165-0114(95)00386-x.

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22

Misra, Krishna B., and Gunter G. Weber. "A new method for fuzzy fault tree analysis." Microelectronics Reliability 29, no. 2 (January 1989): 195–216. http://dx.doi.org/10.1016/0026-2714(89)90568-4.

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23

Xu, You Cai, Xin Shi Li, Ran Tao, Shu Guo, Min Gou, and Kun Li. "Research on the Elevator System with Fault Diagnosis Method Based on Fuzzy Fault Tree." Advanced Materials Research 1014 (July 2014): 90–93. http://dx.doi.org/10.4028/www.scientific.net/amr.1014.90.

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This paper is aimed at the security problems of elevator system.Fuzzy fault tree analytic method is applied to study the reliability of the elevator system.First of all, the elevator system is divided into four subsystems, and then the paper take elevator fall accident as the top event as a example, applying the ascending method for qualitative analysis to find out 7 minimum cut sets in the fault tree and 15 bottom event structure importance sorting. Finally, the fuzzy fault interval probability come out through introducing the concept of fuzzy number in fuzzy set theory, using the triangular fuzzy number to describe the probability of basic event occurrence in the fault tree, making an quantitative interval probability calculation in middle events and top events in the fault tree..The results show that the fuzzy fault tree is an effective and practical method for reliability analysis when we are difficult or unable to obtain the accurate probability of bottom events in terms of the elevator system. Compared with the traditional method of fault tree, the calculated result is more scientific and reasonable, closer to the engineering practice.

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24

Meng, Jun. "Reliability Analysis of Ventilation System Based on Fuzzy Fault Tree." Advanced Materials Research 634-638 (January 2013): 3670–77. http://dx.doi.org/10.4028/www.scientific.net/amr.634-638.3670.

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The fuzzy Fault Tree Analysis (FTA) of mine ventilation system is set up based on thorough composition of the system, with triangular fuzzy number being used as probability of elementary event and “mine ventilation system fault” being deemed as top event. In this paper, the reliability of FTA has been analyzed and applied to a mine in Gansu Province. The result shows that the minimum cut set of fault tree is 549 and the main reason why it has a huge number of minimum cut set is Level 1，Event 7，“Monitoring feedback system failure”. The reliability of top event and Level 1 event is low, and fuzzy failure probability of top event is (0.009, 0.014, 0.009), the maximum of which is 2.3% of it. The degree of fuzzy importance of elementary event is the highest in Level 1，Event 7. The maximum of fuzzy importance is 0.0843 by the normalization and the rest vary from 0.0050 to 0.0100 mostly.

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25

Sun, Yi Yun, Xin Wang, Yi Hui Zheng, Li Xue Li, and Qing Shan Xu. "Application of FTA and Improved FAHP in Power Transformer Risk Assessment." Advanced Materials Research 860-863 (December 2013): 2157–60. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.2157.

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For fast and accurately assessing the risk of the transformer failure and getting the reliability of transformer components, it is proposed a new method based on Fault Tree Analysis (FTA) and Improved Fuzzy Analytic Hierarchy Process (IFAHP) in this paper. Firstly power transformer fault tree is established accordingly to make the complex transformer faults system subdivide into various kinds of basic types directly; Secondly, the IFAHP is designed to analyze the fault tree, so the complex system of transformer can be quantitatively described and the fuzzy judgment matrix can be established; Finally, the fuzzy consistent qualification is changed into a mathematical programming problem and Genetic Algorithms (GA) is adopted to get the solution so as to obtain the reliability of transformer components. In addition, the application result shows the effectiveness of the method above.

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26

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 and fuzzy set theory to evaluate the failure rates of the basic events for DCS and uses a dynamic fault tree model to capture the dynamic failure mechanisms. Furthermore, some reliability parameters can be calculated by mapping a dynamic fault tree into an equivalent BN. The results show that the proposed method is more flexible and adaptive than conventional fault tree analysis for fault diagnosis and reliability estimation of DCS.

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27

Tyagi, Sanjay Kumar, Diwakar Pandey, and Vinesh Kumar. "Fuzzy Fault Tree Analysis for Fault Diagnosis of Cannula Fault in Power Transformer." Applied Mathematics 02, no. 11 (2011): 1346–55. http://dx.doi.org/10.4236/am.2011.211188.

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28

Liu, Bao Zhan, Wen Pu Wei, Meng Lan Duan, Wei An, and Yan Lü. "Quantitative Analysis of Blowout Risk in Production Platform: A Fuzzy Fault Tree Approach." Applied Mechanics and Materials 675-677 (October 2014): 1569–74. http://dx.doi.org/10.4028/www.scientific.net/amm.675-677.1569.

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Fault tree approach is a widely used for importance and risk assessment. This paper analyses the blowout risk in production platform by a fuzzy fault tree method. This method is appropriate for the situation that lack or incompleteness of data. The judgements from experts can be quantified by using this framework. Analysis process is introduced. It establishes a fault tree including a top event and 13 basic events. The top event is blowout. Through analysis, 15 minimum cut sets are obtained and the fuzzy failure probability and single definite probability values are calculated. Finally, the probability of blowout risk in production platform is 5.67×10-4.

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29

Yu, Feng, Xiang Yang Li, and Guo Jun Yue. "Fault-Tree Analysis for Power Gird Emergency Logistics System under Large-Scale Natural Disaster." Advanced Materials Research 986-987 (July 2014): 311–14. http://dx.doi.org/10.4028/www.scientific.net/amr.986-987.311.

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Power grid, one of the critical infrastructures, is a vital component of the world’s energy supply. Once large-scale natural disaster occurs, it is inevitable to meet unexpected faults on emergency logistic. Fault-tree analysis (FTA) is a risk estimation tool to describe and model causal interactions and logical relationships between undesired events in a system Taking uncertain situation and response failure into consideration, this paper proposed a fault-tree analysis on PG-ELS with fuzzy probabilistic confidence. The most critical failure mode is identified using the ranking method based on interval number.

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30

Kumar, Mohit. "A Novel Weakest t-norm based Fuzzy Fault Tree Analysis Through Qualitative Data Processing and Its Application in System Reliability Evaluation." Journal of Intelligent Systems 29, no. 1 (October 10, 2018): 977–93. http://dx.doi.org/10.1515/jisys-2018-0159.

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Abstract The quantification of the fuzzy fault tree analysis (FFTA) is based on fuzzy arithmetic operations. It is well known that the weakest t-norm (Tw)-based fuzzy arithmetic operations have some advantages. The Tw-based fuzzy arithmetic operations provide fuzzy results with less fuzziness and preserve the shape of fuzzy numbers. The purpose of this study is to develop a Tw-based fuzzy fault tree analysis (TBFFTA) to assess system reliability when only qualitative data such as expert opinions or decisions are available and described in linguistic terms. The developed TBFFTA applies Tw-based fuzzy arithmetic operations to evaluate the lower bound, best estimate, and upper bound top event probability of a system fault tree, where occurrence possibilities of basic events are characterized by triangular fuzzy membership functions. To demonstrate the applicability and feasibility of TBFFTA, a case study has been performed. The computed results have been compared with results analyzed by existing fuzzy approach. The comparative study concludes that TBFFTA reduces fuzzy spreads (uncertainty interval) and provides more exact fuzzy results.

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31

Kieselbach, R. "Systematic failure analysis using fault tree and fuzzy logic." Technology, Law and Insurance 2, no. 1 (March 1997): 13–20. http://dx.doi.org/10.1080/135993797349966.

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32

Guimarẽes, Antonio C. F., and Nelson F. F. Ebecken. "FuzzyFTA: a fuzzy fault tree system for uncertainty analysis." Annals of Nuclear Energy 26, no. 6 (April 1999): 523–32. http://dx.doi.org/10.1016/s0306-4549(98)00070-x.

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33

Zhou, Hui, and Haiping Ren. "A novel ranking function-based triangular intuitionistic fuzzy fault tree analysis method." Journal of Intelligent & Fuzzy Systems 39, no. 3 (October 7, 2020): 2753–61. http://dx.doi.org/10.3233/jifs-191018.

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In reliability field, the probabilities of basic events are often treated as exact values in conventional fault tree analysis. However, for many practical systems, because the concept of events may be ambiguous, the factors affecting the occurrence of events are complex and changeable, so it is difficult to obtain accurate values of the occurrence probability of events. Fuzzy sets can well deal with these situations. Thus this paper will develop a novel fault tree analysis method in the assumption of the values of probability of basic events expressed with triangular intuitionistic fuzzy numbers. First, a new ranking function of triangular intuitionistic numbers is established, which can reflect the behavior factors of the decision maker. Then a novel fault tree analysis method is put forward on the basis of operational laws and the proposed ranking function of triangular intuitionistic numbers. Finally, an example of weapon system “automatic gun” is employed to show that the proposed fault tree analysis method is feasible and effective.

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34

Wu, Xue, Ci Yuan Xiao, and Xue Yan Xu. "Research on a Nonlinear Fuzzy Comprehensive Assessment Method for Oil & Gas Pipeline Failure Based on Fault Tree Analysis." Applied Mechanics and Materials 187 (June 2012): 304–10. http://dx.doi.org/10.4028/www.scientific.net/amm.187.304.

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The combination method of fault tree analysis and nonlinear fuzzy comprehensive assessment method was proposed to make research of oil & gas pipeline failure .The common factors influencing oil & gas pipeline failure could be determined with fault tree analysis .However , the practical operated oil & gas pipeline often have some individual factors and fuzzy ones .Nonlinear fuzzy comprehensive assessment method could evaluate objectively based on evaluated factors sets and weight sets provided by fault tree analysis .The new model steps were listed by taking the example of oil & gas pipeline failure .The result indicates that the method is more reasonable and easier for engineering application , and the evaluation result is more with the objective reality.

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35

Bai, Jian Yun, and Li Peng Yan. "Analysis of Mine Hoist System Monitoring and Fault Diagnosis." Applied Mechanics and Materials 615 (August 2014): 113–17. http://dx.doi.org/10.4028/www.scientific.net/amm.615.113.

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This paper is Zhengli Coal JKMD3.5 × 4 (III) E-type floor-type multi-rope friction hoist for the study, in order to enhance the system to improve monitoring and fault diagnosis for the purpose of fuzzy fault tree analysis method as the lift system the method of fault diagnosis on hoist brake system fault tree analysis, the results of the analysis can play a guiding role in the daily repair and maintenance, thereby enhancing the safety and reliability of the hoist.

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36

Li, Zhi Hui, Qin Xiang Gao, and Jie Hui. "Risk Assessment on Fuzzy Fault Tree Analysis for Power Transmission Line Field Maintenance Work." Advanced Materials Research 1044-1045 (October 2014): 412–16. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.412.

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This paper introduces a fault tree (FT) method based on fuzzy numbers, aiming to deal with the inadequate statistics and the uncertain probability of the basic events during the fault tree analysis for power transmission line field maintenance work. Based on expert judgment, the Delphi method is used to transform fuzzy language to triangular fuzzy numbers, finally an approach for defuzzification is developed. A typical hazard in replacing the linear composite insulator of 500kV transmission line field maintenance work is presented for a case study. The method is conducive to a better risk pre-control and decision-making.

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37

Cao, Qiu Lin, and Xing Hua Wang. "An Application of Fuzzy Fault Tree Analysis for Large and Medium-Sized Pumping Stations." Applied Mechanics and Materials 170-173 (May 2012): 1977–82. http://dx.doi.org/10.4028/www.scientific.net/amm.170-173.1977.

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Risk analysis for large and medium-sized pumping stations was conducted by using the theory of fault tree. Model was established for fault tree analysis on running risk of pumping stations. Structural importance of minimal cut sets was analyzed and compared on the magnitude based on the probability description of fault tree given. Then the major influencing factors were identified and risk rating of pumping stations was discussed. In addition, appropriate countermeasures were provided for management. And application example was given.

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38

Gong, Jian Chun, and Peng Fei Tian. "The Study of Fault-Diagnosis Method of Reciprocating Compressor Based on Fuzzy Fault Tree Theory." Applied Mechanics and Materials 217-219 (November 2012): 2649–53. http://dx.doi.org/10.4028/www.scientific.net/amm.217-219.2649.

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Since working condition of reciprocating compressor is awfully bad and it has bigger risk in operation and higher fault rate，it is of importance to study reciprocating compressor fault. Fault tree has been established in this paper by analyzing factors leading reciprocating compressor fault based on the method of fault tree. 21 minimum cut sets leading to reciprocating compressor fault can be gotten through qualitative analyses on this fault tree，the happening probability of the top event can be calculated and the importance of the basic event s can be analyzed through quantitative analysis. The expert inquiry method combined with fuzzy sets theory is adopted to assess the happening probability of the basic events and top events.

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39

Siontorou, C. G., and F. A. Batzias. "Subcutaneous glucose biosensor failure – a fuzzy fault tree analysis approach." International Journal of Design & Nature and Ecodynamics 9, no. 2 (June 30, 2014): 149–64. http://dx.doi.org/10.2495/dne-v9-n2-149-164.

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40

Halloul, Younes, Samia Chiban, and Adel Awad. "Adapted fuzzy fault tree analysis for oil storage tank fire." Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 41, no. 8 (September 19, 2018): 948–58. http://dx.doi.org/10.1080/15567036.2018.1522393.

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41

Li, Long, Qianchao Liang, and Yifan Liang. "Fuzzy Fault Tree Analysis of a Gas Turbine Fuel System." IOP Conference Series: Earth and Environmental Science 237 (March 19, 2019): 022024. http://dx.doi.org/10.1088/1755-1315/237/2/022024.

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42

Mahmood, Y. A., A. Ahmadi, A. K. Verma, A. Srividya, and U. Kumar. "Fuzzy fault tree analysis: a review of concept and application." International Journal of System Assurance Engineering and Management 4, no. 1 (February 16, 2013): 19–32. http://dx.doi.org/10.1007/s13198-013-0145-x.

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43

Wang, Hongping, Xi Lu, Yuxian Du, Chenwei Zhang, Rehan Sadiq, and Yong Deng. "Fault tree analysis based on TOPSIS and triangular fuzzy number." International Journal of System Assurance Engineering and Management 8, S4 (December 4, 2014): 2064–70. http://dx.doi.org/10.1007/s13198-014-0323-5.

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44

Singer, D. "A fuzzy set approach to fault tree and reliability analysis." Fuzzy Sets and Systems 34, no. 2 (January 1990): 145–55. http://dx.doi.org/10.1016/0165-0114(90)90154-x.

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45

Sun, Yi Yun, Xin Wang, Yi Hui Zheng, Li Xue Li, and Qing Shan Xu. "Power Transformer Life Analysis Based on Risk Assessment." Applied Mechanics and Materials 672-674 (October 2014): 1151–54. http://dx.doi.org/10.4028/www.scientific.net/amm.672-674.1151.

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In order to grasp the state of full life cycle of the power transformer, A new method for power transformer life analysis based on risk assessment is proposed in this paper. Firstly power transformer risk assessment is conducted and fault tree is established accordingly to make the complex transformer faults system subdivide into various kinds of basic types directly; Secondly, the Fuzzy Analytical Hierarchy Process (FAHP) is designed to analyze the fault tree, so the complex system of transformer can be quantitatively described and the reliability of transformer can be obtained; Finally, transformer aging model is established to research the change rules of the transformer runnung state and determine the duration that the transformer stays in each stages of life. In addition, the application result shows the feasibility and effectiveness of the method above.

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Qu, Na, Zhong Hai Li, Nai Wei Cheng, and Jian Wei Li. "Failure Risk Evaluation of Security System Based on Fuzzy FTA." Advanced Materials Research 945-949 (June 2014): 1094–97. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.1094.

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The reliability of security system affects the ability of the system to protect people's lives and property safety. Failure risk assessment of security system is an effective method to test the reliability of the system. The fault tree analysis method has been applied to analyze the system failure risk from the angle of each part and considering the human factors. The traditional fault tree analysis method assumes that the probability of bottom events is certain to calculate the top event probability. To obtain accurate bottom events probability is difficult, even impossible because statistical data is not sufficient and the bottom events is fuzzy in fact. Analysis of the fuzzy mathematics theory is introduced into the fault tree. The calculation provides reference for the system design and management.

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Zhang, Jin Feng, and Yan Min Zheng. "Study on Fire Accident of Cotton Plant Based on L-R Fuzzy Numerals." Advanced Materials Research 716 (July 2013): 581–85. http://dx.doi.org/10.4028/www.scientific.net/amr.716.581.

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A reliability analysis on fire accident was made by using the L-R fuzzy number with the function of fuzzy fault tree theory. According to the statistics of running condition of field equipment and the fuzzy information provided by expert experience, the fault tree of fire accident in the cotton plant was built, and the fuzzy probability distribution of the explosion was gained. The structural importance of each basic event also was analyzed, and the most important factors which influence the system were established. It provides a new way and means for the safety analysis of the system and preventing fire accidents.

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Li, Guo Ping, Qing Wei Zhang, and Ma Xiao. "Fault Diagnosis Research of Hydraulic Excavator Based on Fault Tree and Fuzzy Neural Network." Applied Mechanics and Materials 303-306 (February 2013): 1350–56. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.1350.

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Directing to the dispersiveness and faintness failure characteristics of hydraulic excavator, the fault diagnosis method was presented based on the fault tree and fuzzy neural network. On the basis of analysis of the hydraulic excavator system works, the fault tree model of hydraulic excavator was built by using fault diagnosis tree. And then, utilizing the example of hydraulic excavator fault diagnosis, the method of building neural network, obtaining training samples and neural network learning in the process of intelligent fault diagnosis are expounded. And the status monitoring data of hydraulic excavator was used as the sample data source. Using fuzzy logic methods the samples were blurred. The fault diagnosis of hydraulic excavator was achieved with BP neural network. The experimental result demonstrated that the information of sign failure was fully used through the algorithm. The algorithm was feasible and effective to fault diagnosis of hydraulic excavator. A new diagnosis method was proposed for fault diagnosis of other similar device.

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Henriques de Gusmão, Ana Paula, Maisa Mendonça Silva, Thiago Poleto, Lúcio Camara e Silva, and Ana Paula Cabral Seixas Costa. "Cybersecurity risk analysis model using fault tree analysis and fuzzy decision theory." International Journal of Information Management 43 (December 2018): 248–60. http://dx.doi.org/10.1016/j.ijinfomgt.2018.08.008.

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PURBA, JULWAN HENDRY, JIE LU, and GUANGQUAN ZHANG. "AN INTELLIGENT SYSTEM BY FUZZY RELIABILITY ALGORITHM IN FAULT TREE ANALYSIS FOR NUCLEAR POWER PLANT PROBABILISTIC SAFETY ASSESSMENT." International Journal of Computational Intelligence and Applications 13, no. 03 (September 2014): 1450017. http://dx.doi.org/10.1142/s1469026814500175.

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Fault tree analysis for nuclear power plant probabilistic safety assessment is an intricate process. Personal computer-based software systems have therefore been developed to conduct this analysis. However, all existing fault tree analysis software systems only accept quantitative data to characterized basic event reliabilities. In real-world applications, basic event reliabilities may not be represented by quantitative data but by qualitative justifications. The motivation of this work is to develop an intelligent system by fuzzy reliability algorithm in fault tree analysis, which can accept not only quantitative data but also qualitative information to characterized reliabilities of basic events. In this paper, a newly-developed system called InFaTAS-NuSA is presented and its main features and capabilities are discussed. To benchmark the applicability of the intelligent concept implemented in InFaTAS-NuSA, a case study is performed and the analysis results are compared to the results obtained from a well-known fault tree analysis software package. The results confirm that the intelligent concept implemented in InFaTAS-NuSA can be very useful to complement conventional fault tree analysis software systems.

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