Relevant bibliographies by topics / Fault tree analysis

Academic literature on the topic 'Fault tree analysis'

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Published: 4 June 2021
Last updated: 14 March 2023

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Journal articles on the topic "Fault tree analysis"

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McElroy, Lisa M., Rebeca Khorzad, Theresa A. Rowe, Zachary A. Abecassis, Daniel W. Apley, Cynthia Barnard, and Jane L. Holl. "Fault Tree Analysis." American Journal of Medical Quality 32, no. 1 (July 9, 2016): 80–86. http://dx.doi.org/10.1177/1062860615614944.

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The purpose of this study was to use fault tree analysis to evaluate the adequacy of quality reporting programs in identifying root causes of postoperative bloodstream infection (BSI). A systematic review of the literature was used to construct a fault tree to evaluate 3 postoperative BSI reporting programs: National Surgical Quality Improvement Program (NSQIP), Centers for Medicare and Medicaid Services (CMS), and The Joint Commission (JC). The literature review revealed 699 eligible publications, 90 of which were used to create the fault tree containing 105 faults. A total of 14 identified faults are currently mandated for reporting to NSQIP, 5 to CMS, and 3 to JC; 2 or more programs require 4 identified faults. The fault tree identifies numerous contributing faults to postoperative BSI and reveals substantial variation in the requirements and ability of national quality data reporting programs to capture these potential faults. Efforts to prevent postoperative BSI require more comprehensive data collection to identify the root causes and develop high-reliability improvement strategies.
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Averett, Mark W. "Fault Tree Analysis." Risk Analysis 8, no. 3 (September 1988): 463–64. http://dx.doi.org/10.1111/j.1539-6924.1988.tb00510.x.

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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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SANTIAGO, Israel BARRAGAN, Jean-Marc FAURE, and Yiannis PAPADOPOULOS. "INCLUDING SYSTEMATIC FAULTS INTO FAULT TREE ANALYSIS." IFAC Proceedings Volumes 39, no. 13 (2006): 765–70. http://dx.doi.org/10.3182/20060829-4-cn-2909.00127.

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Libošvárová, Adriana, and Peter Schreiber. "Fault Tree Analysis Optimized by Genetic Algorithms." Research Papers Faculty of Materials Science and Technology Slovak University of Technology 21, Special-Issue (June 1, 2013): 78–83. http://dx.doi.org/10.2478/rput-2013-0013.

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Abstract This paper deals with possibilities of using genetic algorithms in design of costs optimization, which are needed to reach given reliability of technical system, respectively system reliability optimization by given amount of investment costs. In following chapters, there is a described design of new method, which will be later implemented in application and verified on an example. Causal relationships between system failures and elements faults can be detected by analytic approach, when at first the undesired system fault is identified and its reasons are progressively detected. The reliability of system and its elements is analyzed using method FTA (fault tree analysis) and system is represented by fault trees. In order to optimize costs, respectively reliability, the genetic algorithms are used.
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Chunning, Yan, and Shi Dinghua. "Classification of fault trees and algorithms of fault tree analysis." Microelectronics Reliability 30, no. 5 (January 1990): 891–95. http://dx.doi.org/10.1016/0026-2714(90)90557-4.

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Kai, Yu. "Multistate fault-tree analysis." Reliability Engineering & System Safety 28, no. 1 (January 1990): 1–7. http://dx.doi.org/10.1016/0951-8320(90)90039-p.

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Li, Meng Nan, Ping Qian, Wen Rui Wang, and Yin Zhong Ye. "Fault Analysis and Position of the Tree-Phase Grid-Connection Inverter." Applied Mechanics and Materials 568-570 (June 2014): 1177–81. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.1177.

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The theory, design, implementation and experimental validation of a neural network based diagnosis method for open-switch faults in the three-phase grid-connection inverter are discussed. The model of three-phase grid-connection inverter are established with Matlab/Simulink. The feature value of output current wave of the inverter is extracted under various kinds of open-switch faulty conditions in the inverter with the FFT method and wavelet analysis method. The experimental results show the flexible and double domain superiority of the wavelet analysis. Finally, the design takes advantage of the extraction as learning and training samples, puts forward a new method of locating fault for three-phase grid connection inverter based on neural network structure. The simulation results show that the method can locate the fault device exactly and distinguish multiple fault modes. The experiment illustrates the effectiveness of the method.
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Hurdle, E. E., L. M. Bartlett, and J. D. Andrews. "System fault diagnostics using fault tree analysis." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 221, no. 1 (March 2007): 43–55. http://dx.doi.org/10.1243/1748006xjrr6.

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Byun, Sungil, and Dongik Lee. "System Reliability Evaluation using Dynamic Fault Tree Analysis." IEMEK Journal of Embedded Systems and Applications 8, no. 5 (October 31, 2013): 243–48. http://dx.doi.org/10.14372/iemek.2013.8.5.243.

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Dissertations / Theses on the topic "Fault tree analysis"

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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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Reay, Karen A. "Efficient fault tree analysis using binary decision diagrams." Thesis, Loughborough University, 2002. https://dspace.lboro.ac.uk/2134/7579.

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The Binary Decision Diagram (BDD) method has emerged as an alternative to conventional techniques for performing both qualitative and quantitative analysis of fault trees. BDDs are already proving to be of considerable use in reliability analysis, providing a more efficient means of analysing a system, without the need for the approximations previously used in the traditional approach of Kinetic Tree Theory. In order to implement this technique, a BDD must be constructed from the fault tree, according to some ordering of the fault tree variables. The selected variable ordering has a crucial effect on the resulting BDD size and the number of calculations required for its construction; a bad choice of ordering can lead to excessive calculations and a BDD many orders of magnitude larger than one obtained using an ordering more suited to the tree. Within this thesis a comparison is made of the effectiveness of several ordering schemes, some of which have not previously been investigated. Techniques are then developed for the efficient construction of BDDs from fault trees. The method of Faunet reduction is applied to a set of fault trees and is shown to significantly reduce the size of the resulting BDDs. The technique is then extended to incorporate an additional stage that results in further improvements in BDD size. A fault tree analysis strategy is proposed that increases the likelihood of obtaining a BDD for any given fault tree. This method implements simplification techniques, which are applied to the fault tree to obtain a set of concise and independent subtrees, equivalent to the original fault tree structure. BDDs are constructed for each subtree and the quantitative analysis is developed for the set of BDDs to obtain the top event parameters and the event criticality functions.
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Sihite, Josep Franklin. "Failure Analysis of Power Transformer Based on Fault Tree Analysis." 京都大学 (Kyoto University), 2013. http://hdl.handle.net/2433/180498.

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Wang, Yanjun. "Development of a computer-aided fault tree synthesis methodology for quantitative risk analysis in the chemical process industry." Texas A&M University, 2004. http://hdl.handle.net/1969.1/1347.

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There has been growing public concern regarding the threat to people and environment from industrial activities, thus more rigorous regulations. The investigation of almost all the major accidents shows that we could have avoided those tragedies with effective risk analysis and safety management programs. High-quality risk analysis is absolutely necessary for sustainable development. As a powerful and systematic tool, fault tree analysis (FTA) has been adapted to the particular need of chemical process quantitative risk analysis (CPQRA) and found great applications. However, the application of FTA in the chemical process industry (CPI) is limited. One major barrier is the manual synthesis of fault trees. It requires a thorough understanding of the process and is vulnerable to individual subjectivity. The quality of FTA can be highly subjective and variable. The availability of a computer-based FTA methodology will greatly benefit the CPI. The primary objective of this research is to develop a computer-aided fault tree synthesis methodology for CPQRA. The central idea is to capture the cause-and-effect logic around each item of equipment directly into mini fault trees. Special fault tree models have been developed to manage special features. Fault trees created by this method are expected to be concise. A prototype computer program is provided to illustrate the methodology. Ideally, FTA can be standardized through a computer package that reads information contained in process block diagrams and provides automatic aids to assist engineers in generating and analyzing fault trees. Another important issue with regard to QRA is the large uncertainty associated with available failure rate data. In the CPI, the ranges of failure rates observed could be quite wide. Traditional reliability studies using point values of failure rates may result in misleading conclusions. This dissertation discusses the uncertainty with failure rate data and proposes a procedure to deal with data uncertainty in determining safety integrity level (SIL) for a safety instrumented system (SIS). Efforts must be carried out to obtain more accurate values of those data that might actually impact the estimation of SIL. This procedure guides process hazard analysts toward a more accurate SIL estimation and avoids misleading results due to data uncertainty.
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Andersson, Johan. "Automated Fault Tree Generation from Requirement Structures." Thesis, Linköpings universitet, Fordonssystem, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-122471.

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The increasing complexity of today’s vehicles gives drivers help with everything from adaptive cruisecontrol to warning lights for low fuel level. But the increasing functionality also increases the risk offailures in the system. To prevent system failures, different safety analytic methods can be used, e.g.,fault trees and/or FMEA-tables. These methods are generally performed manually, and due to thegrowing system size the time spent on safety analysis is growing with increased risk of human errors. If the safety analysis can be automated, lots of time can be saved. This thesis investigates the possibility to generate fault trees from safety requirements as wellas which additional information, if any, that is needed for the generation. Safety requirements are requirements on the systems functionality that has to be fulfilled for the safety of the system to be guaranteed. This means that the safety of the truck, the driver, and the surroundings, depend on thefulfillment of those requirements. The requirements describing the system are structured in a graphusing contract theory. Contract theory defines the dependencies between requirements and connectsthem in a contract structure. To be able to automatically generate the fault tree for a system, information about the systems failure propagation is needed. For this a Bayesian network is used. The network is built from the contract structure and stores the propagation information in all the nodes of the network. This will result in a failure propagation network, which the fault tree generation will be generated from. The failure propagation network is used to see which combinations of faults in the system can violate thesafety goal, i.e., causing one or several hazards. The result of this will be the base of the fault tree. The automatic generation was tested on two different Scania systems, the fuel level displayand the dual circuit steering. Validation was done by comparing the automatically generated trees withmanually generated trees for the two systems showing that the proposed method works as intended. The case studies show that the automated fault tree generation works if the failure propagationinformation exists and can save a lot of time and also minimize the errors made by manuallygenerating the fault trees. The generated fault trees can also be used to validate written requirementsto by analyzing the fault trees created from them.
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Books on the topic "Fault tree analysis"

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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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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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Fault Tree Analysis Primer. CreateSpace Independent Publishing Platform, 2011.

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Book chapters on the topic "Fault tree analysis"

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Flaus, Jean-Marie. "Fault Tree Analysis." In Risk Analysis, 229–51. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118790021.ch12.

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Čepin, Marko. "Fault Tree Analysis." In Assessment of Power System Reliability, 61–87. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-688-7_5.

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Andonov, Sasho. "Fault Tree Analysis." In Bowtie Methodology, 101–11. Boca Raton : CRC Press, 2018.: CRC Press, 2017. http://dx.doi.org/10.1201/9781315158853-7.

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Häring, Ivo. "Fault Tree Analysis." In Technical Safety, Reliability and Resilience, 71–99. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4272-9_6.

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Aslansefat, Koorosh, Sohag Kabir, Youcef Gheraibia, and Yiannis Papadopoulos. "Dynamic Fault Tree Analysis." In Reliability Management and Engineering, 73–112. First edition. | Boca Raton, FL : CRC Press, 2020. |: CRC Press, 2020. http://dx.doi.org/10.1201/9780429268922-4.

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Signoret, Jean-Pierre, and Alain Leroy. "Fault Tree Analysis (FTA)." In Springer Series in Reliability Engineering, 209–25. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64708-7_16.

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Walker, Martin, Leonardo Bottaci, and Yiannis Papadopoulos. "Compositional Temporal Fault Tree Analysis." In Lecture Notes in Computer Science, 106–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-75101-4_12.

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Brückner, Claudia. "Fehlerbaumanalyse (Fault Tree Analysis – FTA)." In Handbuch QM-Methoden, 771–75. München: Carl Hanser Verlag GmbH & Co. KG, 2015. http://dx.doi.org/10.3139/9783446444416.026.

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Brückner, Claudia. "Fehlerbaumanalyse (Fault Tree Analysis – FTA)." In Handbuch QM-Methoden, 719–23. München: Carl Hanser Verlag GmbH & Co. KG, 2013. http://dx.doi.org/10.3139/9783446435865.025.

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Bertsche, Bernd, and Martin Dazer. "Fehlerbaumanalyse (Fault Tree Analysis, FTA)." In Zuverlässigkeit im Fahrzeug- und Maschinenbau, 149–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-65024-0_4.

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Conference papers on the topic "Fault tree analysis"

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Moghadam, Armin, and Fatemeh Davoudi Kakhki. "Comparative Study of Decision Tree Models for Bearing Fault Detection and Classification." In Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe100968.

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Fault diagnosis of bearings is essential in reducing failures and improving functionality and reliability of rotating machines. As vibration signals are non-linear and non-stationary, extracting features for dimension reduction and efficient fault detection is challenging. This study aims at evaluating performance of decision tree-based machine learning models in detection and classification of bearing fault data. A machine learning approach combining the tree-based classifiers with derived statistical features is proposed for localized fault classification. Statistical features are extracted from normal and faulty vibration signals though time domain analysis to develop tree-based models of AdaBoost (AD), classification and regression trees (CART), LogitBoost trees (LBT), and Random Forest trees (RF). The results confirm that machine learning classifiers have satisfactory performance and strong generalization ability in fault detection, and provide practical models for classify running state of the bearing.
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Guo, Yongjin, Hongdong Wang, and Hong Yi. "Reliability Simulation for Offshore Structures Based on Fault Tree Analysis." In ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-77010.

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Offshore structures are large-scale and multifunctional products with high requirements for reliability. In this paper, the reliability simulation method based on fault tree analysis for offshore structures is studied. For non-repairable systems, the Weibull distribution is used to fit the failure distribution function of the bottom events of fault trees. The Monte Carlo method is used to sample the lifetime of bottom events, and the unreliability of the top event is calculated through the structure function of the fault tree. For repairable systems, the time arrays of state changes are generated through sampling failure and maintenance time of the components. The system failure time of each simulation is calculated based on minimal cut sets of the fault tree. The method is applied in the reliability analysis of the electrical power system of offshore platforms to prove its feasibility and effectiveness.
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Xiang, Jianwen, and Kazuo Yanoo. "Formal static fault tree analysis." In Systems (ICCES). IEEE, 2010. http://dx.doi.org/10.1109/icces.2010.5674869.

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Prohaska, Alexander. "Dependency-aware Fault Tree Analysis." In 2021 5th International Conference on System Reliability and Safety (ICSRS). IEEE, 2021. http://dx.doi.org/10.1109/icsrs53853.2021.9660639.

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Majdara, A., and T. Wakabayashi. "Computerized fault tree construction for improved reliability analysis." In RISK ANALYSIS 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/risk100141.

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Pan, T. S., and S. S. Rao. "Fault Tree Approach for the Reliability Analysis of Gear Trains: Part I — Basic Theory." In ASME 1987 Design Technology Conferences. American Society of Mechanical Engineers, 1987. http://dx.doi.org/10.1115/detc1987-0035.

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Abstract The application of fault tree techniques to the analysis of gear trains is considered. The techniques involve the decomposition of the system into a logic diagram or fault tree in which certain basic or primary events lead to a specified top event which signifies the total failure of the system. The fault trees are used to obtain minimal cut sets from which the modes of system failure and, hence, the reliability measure for the top event can be calculated. The method of constructing fault trees and the subsequent estimation of reliability of the system is illustrated through a nine speed compound gear train and a five speed epicyclic gear train.
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Pan, T. S., and S. S. Rao. "Fault Tree Approach for the Reliability Analysis of Gear Trains: Part II — Example Applications." In ASME 1987 Design Technology Conferences. American Society of Mechanical Engineers, 1987. http://dx.doi.org/10.1115/detc1987-0036.

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Abstract The application of fault tree techniques to the analysis of gear trains is considered. The techniques involve the decomposition of the system into a logic diagram or fault tree in which certain basic or primary events lead to a specified top event which signifies the total failure of the system. The fault trees are used to obtain minimal cut sets from which the modes of system failure and hence the reliability measure for the top event can be calculated. The method of constructing fault trees and the subsequent estimation of reliability of the system is illustrated through a nine speed compound gear train and a five speed epicyclic gear train.
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Tai, Ann T., Chris J. Walter, Lorraine M. Fesq, and John C. Day. "Fault-class-aware fault tree generation and analysis." In 2013 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW). IEEE, 2013. http://dx.doi.org/10.1109/issrew.2013.6688878.

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Shao, Tiefu, Zongfang Lin, Sundar Krishnamurty, Ian R. Grosse, and Leon J. Osterweil. "Automated Fault Tree Analysis for Engineering Design Optimization." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35496.

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This paper presents an automated fault tree analysis for engineering design optimization process. Specifically, a novel approach is presented in which Little-JIL, a process programming language, is applied to create a process model of engineering optimization. The process model uses a graphical language in the form of easy-to-understand block diagrams for defining processes that coordinate the activities of autonomous agents and their use of resources during the performance of a task. The use of Little-JIL facilitates agent coordination in the design optimization process and helps to model the order of and the communications between units of sub-processes. The resulting process model is easy to debug and is rigorous for simulation and formal reasoning in engineering design optimization. Furthermore, it enables the development of a clear and precise design optimization process model at different levels of granularity as perhaps preferred by the user. Moreover, since the process model allows for generation of fault trees automatically, it can be expected to be less errorprone than manually generated ones. A case study is shown to demonstrate the effectiveness and efficiency of the automated fault tree approach to design optimization and its usefulness in engineering decision making and in improving reliability of engineering design process.
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Georgiadis, Sofia K. "Application of Fault Tree Analysis for Signaling Systems." In 2015 Joint Rail Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/jrc2015-5708.

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Fault Tree Analysis (FTA) is one of the key safety evaluation techniques used by New York City Transit (NYCT). First developed over 50 years ago, this technique continues to provide valuable insight for failure analysis of systems. Its use is widespread in safety-critical systems analysis across industry boundaries, including defense, nuclear, aerospace, chemical [1], and transportation industries. FTAs provide a systematic, top-down methodology to safety analysis. As such, it complements other safety analysis techniques, such as Failure Modes Effect Analysis (FMEA), which is a bottom-up failure analysis [2]. Formal Methods analyses, including Theorem Proving and Model Checking, are powerful development and analysis methodologies, both used by NYCT, that provide assurance of product’s correctness and safety. With these other safety analysis techniques, the FTA continues to play a key role in the NYCT Safety Program. This paper will examine how NYCT uses FTAs for the safety analysis of microprocessor-based signaling systems. FTAs are used by NYCT throughout the system lifecycle. Initially, during the system development phase, NYCT requires system suppliers to develop Fault Tree Analyses of their systems, as a requirement for NYCT safety certification and deployment. For the system maintenance phase, NYCT uses the outputs of suppliers’ analyses to develop and enforce maintenance and operational procedures. In this manner, NYCT’s use of FTA provides full lifecycle value by providing design, maintenance, and operational insight into the causes of hazardous events. Through the examination of example fault trees and an overview of the FTA process, this paper will present the NYCT’s implementation of this powerful analysis tool, and will describe the benefits gained from using this methodology.
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Reports on the topic "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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Zio, Enrico, and Nicola Pedroni. Uncertainty characterization in risk analysis for decision-making practice. Fondation pour une culture de sécurité industrielle, May 2012. http://dx.doi.org/10.57071/155chr.

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This document provides an overview of sources of uncertainty in probabilistic risk analysis. For each phase of the risk analysis process (system modeling, hazard identification, estimation of the probability and consequences of accident sequences, risk evaluation), the authors describe and classify the types of uncertainty that can arise. The document provides: a description of the risk assessment process, as used in hazardous industries such as nuclear power and offshore oil and gas extraction; a classification of sources of uncertainty (both epistemic and aleatory) and a description of techniques for uncertainty representation; a description of the different steps involved in a Probabilistic Risk Assessment (PRA) or Quantitative Risk Assessment (QRA), and an analysis of the types of uncertainty that can affect each of these steps; annexes giving an overview of a number of tools used during probabilistic risk assessment, including the HAZID technique, fault trees and event tree analysis.
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