Relevant bibliographies by topics / Fuzzy Fault Tree Analysis

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Fuzzy Fault Tree Analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Fuzzy Fault Tree Analysis"

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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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Fuzzy Fault Tree Analysis"

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Alsaqqa, Obada. "Fuzzy Time-Delay Model in Fault-Tree Analysis for Critical Path Method." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429772426.

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Fujino, Tomoyuki. "The development of a method for investigating construction site accidents using fuzzy fault tree analysis /." The Ohio State University, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487848891514551.

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Al-Humaidi, Hanouf M. "A fuzzy logic approach to model delays in construction projects." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1185539202.

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Šindelková, Petra. "Fuzzy Markovovy řetězce a jejich využití v řízení rizik." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-233171.

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This thesis deals with the application of Markov chains for the production of concrete products. The theoretical part is focused on clarifying the concepts of risk management and describes the procedures for dealing with classical Markov chains. There are presented basics of fuzzy logic and finally there is explained the procedure using fuzzy logic in calculating of classical Markov chains in the subsection entitled Fuzzy Markov chains. The practical part describes production process, namely concrete pavements. On this production process is applied knowledge from the theoretical part and there is a comparison and evaluation of two methods of Marcov chains calculation (classic and fuzzy approach).
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Hurdle, Emma Eileen. "System fault diagnosis using fault tree analysis." Thesis, Loughborough University, 2008. https://dspace.lboro.ac.uk/2134/34678.

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Fault tree analysis is a method that describes all possible causes of a specified system state in terms of the state of the components within the system. Fault trees are commonly developed to analyse the adequacy of systems, from a reliability or safety point of view during the stages of design. The aim of the research presented in this thesis was to develop a method for diagnosing faults in systems using a model-based fault tree analysis approach, taking into consideration the potential for use on aircraft systems. Initial investigations have been conducted by developing four schemes that use coherent and non-coherent fault trees, the concepts of which are illustrated by applying the techniques to a simple system. These were used to consider aspects of system performance for each scheme at specified points in time. The results obtained were analysed and a critical appraisal of the findings carried out to determine the individual effectiveness of each scheme. A number of issues were highlighted from the first part of research, including the need to consider dynamics of the system to improve the method. The most effective scheme from the initial investigations was extended to take into account system dynamics through the development of a pattern recognition technique. Transient effects, including time history of flows and rate of change of fluid level were considered. The established method was then applied to a theoretical version of the BAE Systems fuel rig to investigate how the method could be utilised on a larger system. The fault detection was adapted to work with an increased number of fuel tanks and other components adding to the system complexity. The implications of expanding the method to larger systems such as a full aircraft fuel system were identified for the Nimrod MRA4.
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Beeson, Sally C. "Non coherent fault tree analysis." Thesis, Loughborough University, 2002. https://dspace.lboro.ac.uk/2134/6927.

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The aim of this thesis is to extend the current techniques available for the analysis of non-coherent fault trees. At present importance analysis of non-coherent systems is extremely limited. The majority of measures of importance that have been developed can only be used to analyse coherent fault trees. If these measures are used to analyse non-coherent fault trees the results obtained are inaccurate and misleading. Extensions for seven of the most commonly used measures of importance have been proposed to enable accurate analysis of non-coherent systems. The Binary Decision Diagram technique has been shown to provide an accurate and efficient means of analysing coherent fault trees. The application of this technique for the qualitative analysis of non-coherent fault trees has demonstrated the gains to be made in terms of efficiency and accuracy. Procedures for quantifying a non-coherent fault tree using this technique have been developed; these techniques enable significantly more efficient and accurate analysis than the conventional techniques for Fault Tree Analysis. Although the Binary Decision Diagram technique provides an efficient and accurate means of analysing coherent and non-coherent fault trees, large trees with many repeated events cannot always be analysed exactly. In such circumstances partial analysis must be performed if any conclusions regarding system safety and reliability are to be drawn. Culling techniques employed in conjuncfion with the Binary Decision Diagram method have been developed for the partial analysis of both coherent and non-coherent fault trees.
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Mason, Russell William. "Fault isolator tool for software fault tree analysis." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1995. http://handle.dtic.mil/100.2/ADA294399.

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Sinnamon, Roslyn M. "Binary decision diagrams for fault tree analysis." Thesis, Loughborough University, 1996. https://dspace.lboro.ac.uk/2134/7424.

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This thesis develops a new approach to fault tree analysis, namely the Binary Decision Diagram (BDD) method. Conventional qualitative fault tree analysis techniques such as the "top-down" or "bottom-up" approaches are now so well developed that further refinement is unlikely to result in vast improvements in terms of their computational capability. The BDD method has exhibited potential gains to be made in terms of speed and efficiency in determining the minimal cut sets. Further, the nature of the binary decision diagram is such that it is more suited to Boolean manipulation. The BDD method has been programmed and successfully applied to a number of benchmark fault trees. The analysis capabilities of the technique have been extended such that all quantitative fault tree top event parameters, which can be determined by conventional Kinetic Tree Theory, can now be derived directly from the BDD. Parameters such as the top event probability, frequency of occurrence and expected number of occurrences can be calculated exactly using this method, removing the need for the approximations previously required. Thus the BDD method is proven to have advantages in terms of both accuracy and efficiency. Initiator/enabler event analysis and importance measures have been incorporated to extend this method into a full analysis procedure.
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Bäckström, Karl, and Andreas Linder. "Fault Tree Analysis of Quick Clay Slides." Thesis, KTH, Jord- och bergmekanik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299065.

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Quick clay slides are quite rare but often leads to major consequences for the society. These type of slides are complex and the true causes leading to a slide is difficult to map since the evidence is destroyed during the slide. Because of this, different theories develop of the causes of the slide based on the same information. It is also problematic to back-calculate the sliding event because the commonly applied concept of perfectly plastic limite quilibrium cannot be applied on many of the landslides in quick clay. The objectives of this thesis were to construct a fault tree that facilitate risk identification and risk analysis of quick clay slides and to evaluate the applicability of the constructed fault tree, especially in the feasibility study and design phase. Uncertainties within the subject require a careful approach when dealing with quick clay. An implementation of a fault tree for quick clay slides in a risk management could reduce the risk of a slide and better understand the phenomenon. Two case studies were approached with the created fault tree and two advanced calculation methods that account for the special behaviour of quickclay. The use of a qualitative fault tree analysis in combination with calculation methods enables an evaluation of isolated singular events that in the end can lead to a quick clay slide. With the possibility to study isolated events, the implementation of more advanced calculation methods may be facilitated in an early stage to predict and prevent quick clay slides.
Kvicklerskred är sällsynta men leder ofta till stor skada för samhället. Dessa skred är komplexa och orsaken till utlösandet av skredet är svårt att identifiera då bevisen förstörs under händelseförloppet. Detta leder till att olika teorier om orsaken av kvicklerskred kan variera från samma information. Det är också svårt att beräkna skredets omlopp i efterhand den vanliga beräkningsmetoden baseras på idealplastiska samband, något som inte går att applicera på kvicklera. Målet med denna studie var att konstruera ett felträd som underlättar riskidentifiering och riskanalyser av kvicklerskred. Målet var även att utvärdera användandet av felträdet i en byggnadsprocess, framförallt under förstudien och under projekteringsskedet. Osäkerheter inom området kräver en försiktig arbetsmetod när kvicklera finns i områden. Att använda sig av ett felträd för kvicklerskred i en riskhantering skulle kunna minska risken för ett skred och samtidigt öka systemförståelsen över fenomenet. Två fallstudier gjordes med det konstruerade felträdet, under dessa fältstudier gjordes även beräkningar med två avancerade beräkningsmetoder som tar hänsyn till det töjningsmjukande beteendet hos kvicklera. Användningav ett kvalitativt felträd i kombination med beräkningsmetoder möjligör en utvärdering av isolerade händelser som i slutändan kan leda till ett kvicklerskred. Möjligheten av att studera isolerade händelser kan underlätta en implementering av mer avancerade beräkningsmetoder i ett tidigt skede och på så vis förutse och förhindra kvicklerskred.
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Reid, William Samuel. "Software fault tree analysis of concurrent Ada processes." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1994. http://handle.dtic.mil/100.2/ADA284979.

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Books on the topic "Fuzzy Fault Tree Analysis"

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Mahar, David J. Fault tree analysis application guide. Rome, NY (P.O. Box 4700, Rome, 13440-8200): The Center, 1990.

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Butler, Ricky W. The fault-tree compiled (FTC): Program and mathematics. Hampton, Va: Langley Research Center, 1989.

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Canada, Atomic Energy of. Fault Tree Analysis of A Research Reactor Computer Tools That Work. S.l: s.n, 1986.

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Needham, Donald Michael. A formal approach to hazard decomposition in Software Fault Tree Analysis. Monterey, California: Naval Postgraduate School, 1990.

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Butler, Ricky W. The Fault-Tree Compiler (FTC): Program and mathematics. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

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Butler, Ricky W. The Fault-Tree Compiler (FTC): Program and mathematics. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

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McGraw, Richard J. Petri Net and Fault Tree analysis : combining two techniques for a software safety analysis on an embedded military application. Monterey, Calif: Naval Postgraduate School, 1989.

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Chan, D. Spruce tree chemistry to assist in geological mapping of an overburden-covered extensional fault, central British Columbia. Ottawa, Ont: Geological Survey of Canada, 1995.

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Symposium on System Modelling, Fault Diagnosis, and Fuzzy Logic and Control (1997 Budapest and Miskolc, Hungary). Proceedings of the Symposium on System Modelling, Fault Diagnosis, and Fuzzy Logic and Control: Budapest and Miskolc, Hungary, May 6-10, 1997. Budapest: Technical University of Budapest, 1997.

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National Mine Health and Safety Academy, ed. Fault tree analysis. [Washington, D.C.?]: U.S. Dept. of Labor, Mine Safety and Health Administration ; National Mine Health and Safety Academy, 1991.

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Book chapters on the topic "Fuzzy Fault Tree Analysis"

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Deshpande, A. W., and P. Khanna. "Fuzzy Fault Tree Analysis : Case Studies." In Reliability and Safety Analyses under Fuzziness, 126–41. Heidelberg: Physica-Verlag HD, 1995. http://dx.doi.org/10.1007/978-3-7908-1898-7_8.

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Reddy, Galiveeti Hemakumar, Sadhan Gope, More Raju, Sunil Kumar P, Arup Kumar Goswami, and Nalin B. Dev Choudhury. "Distribution System Failure Assessment Using Fuzzy Fault Tree Analysis." In Learning and Analytics in Intelligent Systems, 429–38. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42363-6_50.

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Li, Yonghua, H. T. Liu, Yuehua Gao, Bingzhi Chen, and G. G. Wang. "Fuzzy Grey Fault Tree Analysis on Wagon Bogie Reliability." In Proceedings of the 1st International Workshop on High-Speed and Intercity Railways, 117–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27963-8_12.

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Misra, Krishna B., and K. P. Soman. "Multi State Fault Tree Analysis Using Fuzzy Probability Vectors and Resolution Identity." In Reliability and Safety Analyses under Fuzziness, 113–25. Heidelberg: Physica-Verlag HD, 1995. http://dx.doi.org/10.1007/978-3-7908-1898-7_7.

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Bellini, Salvatore, Maddalena Casamirra, and Francesco Castiglia. "TREEZZY2, a Fuzzy Logic Computer Code for Fault Tree and Event Tree Analyses." In Probabilistic Safety Assessment and Management, 3577–82. London: Springer London, 2004. http://dx.doi.org/10.1007/978-0-85729-410-4_572.

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Zhu, Lei, Zhenyu Zhang, Yong Qin, Xiaoqing Cheng, Linlin Kou, Minzheng Yuan, and Guangwu Liu. "Reliability Analysis of Metro Vehicles Bogie System Based on Fuzzy Fault Tree." In Proceedings of the 2015 International Conference on Electrical and Information Technologies for Rail Transportation, 71–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49370-0_8.

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Purba, Julwan H., Jie Lu, Da Ruan, and Guangquan Zhang. "A Hybrid Approach for Fault Tree Analysis Combining Probabilistic Method with Fuzzy Numbers." In Artificial Intelligence and Soft Computing, 194–201. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13208-7_25.

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Purba, Julwan Hendry, Jie Lu, and Guangquan Zhang. "Fuzzy Failure Rate for Nuclear Power Plant Probabilistic Safety Assessment by Fault Tree Analysis." In Atlantis Computational Intelligence Systems, 131–54. Paris: Atlantis Press, 2012. http://dx.doi.org/10.2991/978-94-91216-77-0_7.

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Komal. "Fuzzy Fault Tree Analysis for Web Access Failure under Uncertainty Using a Compensatory Operator." In Reliability Management and Engineering, 149–74. First edition. | Boca Raton, FL : CRC Press, 2020. |: CRC Press, 2020. http://dx.doi.org/10.1201/9780429268922-7.

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Su, Guannan, Linpeng Huang, and Xiaoyu Fu. "Synthetic Safety Analysis: A Systematic Approach in Combination of Fault Tree Analysis and Fuzzy Failure Modes and Effect Analysis." In Proceedings of the 4th International Conference on Computer Engineering and Networks, 389–98. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11104-9_46.

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Conference papers on the topic "Fuzzy Fault Tree Analysis"

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Zeng, Jidong, Dan Ling, Yu Liu, Song Wang, and Chuanhao Wu. "Fuzzy fault tree analysis of mask stage." In 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE). IEEE, 2012. http://dx.doi.org/10.1109/icqr2mse.2012.6246234.

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He, Li-ping, Hong-zhong Huang, and Ming J. Zuo. "Fault Tree Analysis Based on Fuzzy Logic." In 2007 Annual Reliability and Maintainability Symposium. IEEE, 2007. http://dx.doi.org/10.1109/rams.2007.328048.

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Lu, Wei, and Lin Wei. "Fuzzy fault tree analysis on G1000 system." In 2014 International Conference on Information Science, Electronics and Electrical Engineering (ISEEE). IEEE, 2014. http://dx.doi.org/10.1109/infoseee.2014.6946236.

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Li, Yan-Feng, Jian Sun, Haiqing Li, Hong-Zhong Huang, and Yu Liu. "Fuzzy Dynamic Fault Tree Analysis of Hydraulic System of CNC Machining Center." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47583.

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Fault tree analysis (FTA), as an effective reliability assessment tool, is a widely used in analyzing the risk and reliability of large scale and complex engineering systems. Dynamic fault tree analysis (DFTA) extends the static fault tree by defining additional gates to model the complicated interactions, and in most case, Markov models can be used to solve dynamic gates. In many real systems, it is quite difficult to evaluate the probability of failure events preciously due to many uncertainty factors. To account for the uncertainty resulting from the lack of sufficient data or the subjective adjustments from experts, a fuzzy dynamic fault tree model is proposed to assess the system reliability when acquiring precious probability of failure event is impossible. With the aim of obtaining the membership function of the fuzzy probability of the top event, the extension principle is employed. The proposed method and algorithm are demonstrated by a case study of the hydraulic system of a specific CNC machining center.
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Agarwal, Sanchit Saran, and M. L. Kansal. "Fuzzy fault tree analysis of a power transformer." In 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE). IEEE, 2012. http://dx.doi.org/10.1109/icqr2mse.2012.6246393.

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"LEVEL CROSSING RELIABILITY USING FUZZY FAULT TREE ANALYSIS." In Transport for Today's Society. Faculty of Technical Sciences Bitola, 2019. http://dx.doi.org/10.20544/tts2018.p60.

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Xianfeng Ye, Youjian Hu, and Shengwu Hu. "GIS product reliability analysis based fuzzy fault tree." In 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC). IEEE, 2011. http://dx.doi.org/10.1109/aimsec.2011.6010264.

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Hu, Shengwu, and Xiaosan Ge. "GIS reliability analysis based trapezoid fuzzy fault tree." In 2010 18th International Conference on Geoinformatics. IEEE, 2010. http://dx.doi.org/10.1109/geoinformatics.2010.5567634.

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Huang, Hong-Zhong, Xu Yuan, and Xin-Sheng Yao. "Fuzzy Fault Tree Analysis of Railway Traffic Safety." In Second International Conference on Transportation and Traffic Studies (ICTTS ). Reston, VA: American Society of Civil Engineers, 2000. http://dx.doi.org/10.1061/40503(277)16.

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Ren, Yi, and Leixing Kong. "Fuzzy multi-state fault tree analysis based on fuzzy expert system." In 2011 9th International Conference on Reliability, Maintainability and Safety (ICRMS 2011). IEEE, 2011. http://dx.doi.org/10.1109/icrms.2011.5979415.

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Reports on the topic "Fuzzy Fault Tree Analysis"

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Browne, E. V., J. M. Low, and C. R. Lux. Fault tree analysis of Project S-4404, Upgrade Canyon Exhaust System. Office of Scientific and Technical Information (OSTI), June 1992. http://dx.doi.org/10.2172/10140458.

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Christiansen, L., and C. Lux. FAULT TREE ANALYSIS OF RED OIL REACTIONS IN THE F-CANYON EVAPORATORS. Office of Scientific and Technical Information (OSTI), March 1995. http://dx.doi.org/10.2172/1559862.

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Patev, Robert C., Chandra Putcha, and Stuart D. Foltz. Methodology for Risk Analysis of Dam Gates and Associated Operating Equipment Using Fault Tree Analysis. Fort Belvoir, VA: Defense Technical Information Center, May 2005. http://dx.doi.org/10.21236/ada441161.

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Miller, F. L. ,. Jr, and D. E. Zimmerman. Compilation of Failure Data and Fault Tree Analysis for Geothermal Energy Conversion Systems. Office of Scientific and Technical Information (OSTI), November 1990. http://dx.doi.org/10.2172/882394.

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Hora, S., and R. Iman. Comparison of Maximus/Bounding and Bayes/Monte Carlo for fault tree uncertainty analysis. Office of Scientific and Technical Information (OSTI), March 1986. http://dx.doi.org/10.2172/5824798.

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McKay, M. K., N. L. Skinner, and S. T. Wood. Systems analysis programs for hands-on integrated reliability evaluations (SAPHIRE) Version 5.0. Fault tree, event tree, and piping & instrumentation diagram (FEP) editors reference manual: Volume 7. Office of Scientific and Technical Information (OSTI), July 1994. http://dx.doi.org/10.2172/10173658.

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