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Journal articles on the topic 'Fault tree analysis'

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Published: 4 June 2021

Last updated: 14 March 2023

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Chovanec, A., A. Breznická, and P. Mikuš. "The fault tree stochastic analysis." IOP Conference Series: Materials Science and Engineering 776 (April 2, 2020): 012024. http://dx.doi.org/10.1088/1757-899x/776/1/012024.

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12

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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13

Pan, T. S., and S. S. Rao. "Fault Tree Approach for the Reliability Analysis of Gear Trains." Journal of Mechanisms, Transmissions, and Automation in Design 110, no. 3 (September 1, 1988): 348–53. http://dx.doi.org/10.1115/1.3267469.

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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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14

Liu, Fuqiang, Yan Long, Jun Luo, Huayan Pu, Chaoqun Duan, and Songyi Zhong. "Active Fault Localization of Actuators on Torpedo-Shaped Autonomous Underwater Vehicles." Sensors 21, no. 2 (January 11, 2021): 476. http://dx.doi.org/10.3390/s21020476.

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To ensure the mission implementation of Autonomous Underwater Vehicles (AUVs), faults occurring on actuators should be detected and located promptly; therefore, reliable control strategies and inputs can be effectively provided. In this paper, faults occurring on the propulsion and attitude control systems of a torpedo-shaped AUV are analyzed and located while fault features may induce confusions for conventional fault localization (FL). Selective features of defined fault parameters are assorted as necessary conditions against different faulty actuators and synthesized in a fault tree subsequently to state the sufficiency towards possible abnormal parts. By matching fault features with those of estimated fault parameters, suspected faulty sections are located. Thereafter, active FL strategies that analyze the related fault parameters after executing purposive actuator control are proposed to provide precise fault location. Moreover, the generality of the proposed methods is analyzed to support extensive implementations. Simulations based on finite element analysis against a torpedo-shaped AUV with actuator faults are carried out to illustrate the effectiveness of the proposed methods.

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15

Liu, Fuqiang, Yan Long, Jun Luo, Huayan Pu, Chaoqun Duan, and Songyi Zhong. "Active Fault Localization of Actuators on Torpedo-Shaped Autonomous Underwater Vehicles." Sensors 21, no. 2 (January 11, 2021): 476. http://dx.doi.org/10.3390/s21020476.

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To ensure the mission implementation of Autonomous Underwater Vehicles (AUVs), faults occurring on actuators should be detected and located promptly; therefore, reliable control strategies and inputs can be effectively provided. In this paper, faults occurring on the propulsion and attitude control systems of a torpedo-shaped AUV are analyzed and located while fault features may induce confusions for conventional fault localization (FL). Selective features of defined fault parameters are assorted as necessary conditions against different faulty actuators and synthesized in a fault tree subsequently to state the sufficiency towards possible abnormal parts. By matching fault features with those of estimated fault parameters, suspected faulty sections are located. Thereafter, active FL strategies that analyze the related fault parameters after executing purposive actuator control are proposed to provide precise fault location. Moreover, the generality of the proposed methods is analyzed to support extensive implementations. Simulations based on finite element analysis against a torpedo-shaped AUV with actuator faults are carried out to illustrate the effectiveness of the proposed methods.

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16

Katielnikov, D. I., L. V. Pustylnik, and A. P. Rotshtein. "Reliability Analysis: from Fault Tree to Catastrophe Tree." Journal of Computer and Systems Sciences International 60, no. 5 (September 2021): 793–801. http://dx.doi.org/10.1134/s1064230721050117.

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17

Schneeweiss, Winfrid G. "Fault-Tree Analysis Using a Binary Decision Tree." IEEE Transactions on Reliability R-34, no. 5 (December 1985): 453–57. http://dx.doi.org/10.1109/tr.1985.5222231.

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18

Libošvárová, Adriána, Peter Schreiber, and Oliver Moravčik. "Optimizing Maintenance Costs/Reliability of Technical System Using Genetic Algorithms." Applied Mechanics and Materials 421 (September 2013): 878–82. http://dx.doi.org/10.4028/www.scientific.net/amm.421.878.

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The main goal of the paper is to provide a drawn up methodic for proposal of technical system optimization in terms of maximizing its reliability at given sum of financial costs or minimizing finance to achieve set reliability. The system reliability, respectively causal relationships between system failures and its elements faults are analyzed and illustrated by using special method called fault tree analysis (FTA) and technical system is represented by fault trees. Subsequently, the genetic algorithms are appropriately applied on the constructed diagram. The part of this paper is the proposal and description of individual steps of genetic algorithm in order to optimize fault tree analysis.

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19

Han, Qi Long, and Xin Gao. "Fault Tree Analysis of Vehicle Engine Lubricating Oil’s Failure." Applied Mechanics and Materials 300-301 (February 2013): 172–75. http://dx.doi.org/10.4028/www.scientific.net/amm.300-301.172.

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Through a systematic analysis of various aspects during the process of vehicle engine lubricating oil storage, transportation and use, this paper set up vehicle engine lubricating oil failure fault tree which chose the failure of vehicle engine lubricating oil as the top event. Through the analysis of the fault tree, the minimal cut sets of fault trees were figured out based on the Boolean algebra method. Besides, the structure importance was analyzed, and thus the failure detection process was given and some preventive measures were recommended.

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20

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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21

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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22

Wang, Wen Jiang, Hui Lai Sun, and Shu Zhong Lin. "Based on PLC in the Coin Cell Production Line Fault Diagnosis." Applied Mechanics and Materials 121-126 (October 2011): 1229–33. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.1229.

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Expert system using fault tree with a combination of mixed diagnostic method designed coin cell production line fault diagnosis system. It will describe the analysis of faults structure in the system. According to the hierarchical model of fault structure, it is divided into fault tree diagnosis section and expert system diagnostics section. And it will analyze the two diagnostic methods of reasoning mechanisms.

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23

Waghen, Kerelous, and Mohamed-Salah Ouali. "A Data-Driven Fault Tree for a Time Causality Analysis in an Aging System." Algorithms 15, no. 6 (May 24, 2022): 178. http://dx.doi.org/10.3390/a15060178.

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This paper develops a data-driven fault tree methodology that addresses the problem of the fault prognosis of an aging system based on an interpretable time causality analysis model. The model merges the concepts of knowledge discovery in the dataset and fault tree to interpret the effect of aging on the fault causality structure over time. At periodic intervals, the model captures the cause–effect relations in the form of interpretable logic trees, then represents them in one fault tree model that reflects the changes in the fault causality structure over time due to the system aging. The proposed model provides a prognosis of the probability for fault occurrence using a set of extracted causality rules that combine the discovered root causes over time in a bottom-up manner. The well-known NASA turbofan engine dataset is used as an illustrative example of the proposed methodology.

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24

Thompson, David A. "Fault Logic Analysis of Product Safety." Proceedings of the Human Factors Society Annual Meeting 32, no. 9 (October 1988): 527–31. http://dx.doi.org/10.1177/154193128803200901.

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The purpose of this presentation is to trace the development of Fault Logic Trees, explain their theoretical structure, discuss their forensic importance, and present four illustrative examples of their use in past court cases. The examples are all man-machine interactions, and include a variety of formats and one probabilistic risk tree.

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25

Handique, Mousum, Jantindra Kumar Deka, and Santosh Biswas. "Fault Localization Scheme for Missing Gate Faults in Reversible Circuits." ACM Transactions on Design Automation of Electronic Systems 27, no. 4 (July 31, 2022): 1–29. http://dx.doi.org/10.1145/3503539.

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This article introduces a fault localization method to extract the exact location of single and multiple missing gate faults in reversible \( k \) -CNOT -based circuits. The primary target of the proposed method is to obtain the complete test set for localizing faults in \( k \) -CNOT circuits. We propose a fault localization algorithm to construct a fault localization tree that can be used to find equivalent and non-equivalent faults. For the non-equivalent faults, the test sequences can be obtained from the fault localization tree that uniquely localizes the non-equivalent faults. Finally, this article presents the experimental results and comparative analysis with existing works.

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26

ten Veldhuis, J. A. E., F. H. L. R. Clemens, and P. H. A. J. M. van Gelder. "Fault tree analysis for urban flooding." Water Science and Technology 59, no. 8 (April 1, 2009): 1621–29. http://dx.doi.org/10.2166/wst.2009.171.

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Traditional methods to evaluate flood risk generally focus on heavy storm events as the principal cause of flooding. Conversely, fault tree analysis is a technique that aims at modelling all potential causes of flooding. It quantifies both overall flood probability and relative contributions of individual causes of flooding. This paper presents a fault model for urban flooding and an application to the case of Haarlem, a city of 147,000 inhabitants. Data from a complaint register, rainfall gauges and hydrodynamic model calculations are used to quantify probabilities of basic events in the fault tree. This results in a flood probability of 0.78/week for Haarlem. It is shown that gully pot blockages contribute to 79% of flood incidents, whereas storm events contribute only 5%. This implies that for this case more efficient gully pot cleaning is a more effective strategy to reduce flood probability than enlarging drainage system capacity. Whether this is also the most cost-effective strategy can only be decided after risk assessment has been complemented with a quantification of consequences of both types of events. To do this will be the next step in this study.

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27

Huang, Yuan Liang, and Jia Qi Zhong. "A Novel Fault Tree Analysis Theory." Advanced Materials Research 779-780 (September 2013): 1711–14. http://dx.doi.org/10.4028/www.scientific.net/amr.779-780.1711.

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A novel fault tree analysis theory is introduced for the ambiguity in complex systems. In the theory, the frequency grey number, which can express the events subjective ambiguity and objective ambiguity, is introduced to express the degree and probability that the components go wrong, dynamic envelope is applied to score the relation among components, and a new logic gate, Grey-gate, is advanced for expressing the effect of system reliability when the components go wrong. Finally, the theory is applied to analyze the fault effect of the system with software and hardware.

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28

Zhu, Jin Fang. "Fault Tree Analysis of Centrifugal Compressor." Key Engineering Materials 474-476 (April 2011): 1587–90. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.1587.

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Centrifugal compressor is one of the most typical equipment of all rotary machinery equipment, which is used widely and largely in petrochemical settings. Thus it is necessary to study the reliability of centrifugal compressor. The fault tree has been introduced and applied to the practical facilities. The reliability of centrifugal compressor also has been analyzed. Qualitative analysis aims to find the minimum cut and calculate the failure probability of compressors.

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29

Hyman, William A., and Erin Johnson. "Fault Tree Analysis of Clinical Alarms." Journal of Clinical Engineering 33, no. 2 (April 2008): 85–94. http://dx.doi.org/10.1097/01.jce.0000305872.86942.66.

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30

Hadipriono, Fabian C. "Fault tree network analysis for construction." Civil Engineering Systems 5, no. 1 (March 1988): 42–48. http://dx.doi.org/10.1080/02630258808970501.

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31

Halme, Jari, and Antti Aikala. "Fault tree analysis for maintenance needs." Journal of Physics: Conference Series 364 (May 28, 2012): 012102. http://dx.doi.org/10.1088/1742-6596/364/1/012102.

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32

Rushdi, Ali M. "Uncertainty Analysis of Fault-Tree Outputs." IEEE Transactions on Reliability R-34, no. 5 (December 1985): 458–62. http://dx.doi.org/10.1109/tr.1985.5222232.

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33

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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34

PARK, KYUNG S. "Fault-tree analysis of intermittent events." International Journal of Systems Science 17, no. 8 (August 1986): 1133–38. http://dx.doi.org/10.1080/00207728608926875.

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35

Ortmeier, Frank, and Gerhard Schellhorn. "Formal Fault Tree Analysis - Practical Experiences." Electronic Notes in Theoretical Computer Science 185 (July 2007): 139–51. http://dx.doi.org/10.1016/j.entcs.2007.05.034.

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36

Zhang, Chunhua, Wen Fang, Baopeng Zhao, Zhen Xie, Changning Hu, Hongzhuan Wen, and Tao Zhong. "Study on Fault Diagnosis Method and Application of Automobile Power Supply Based on Fault Tree-Bayesian Network." Security and Communication Networks 2022 (May 12, 2022): 1–10. http://dx.doi.org/10.1155/2022/4046966.

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Among various fault types of automotive power faults, power supply UB + faults have the most complex relationship between fault signs and fault points and are difficult to diagnose. So this paper proposes a Bayesian network fault diagnosis model of automobile power supply based on fault tree. Firstly, based on the in-depth analysis of the principle of automobile power supply fault, the UB + fault tree model is constructed. The fuzzy Bayesian network model of UB + fault is constructed through the mapping relationship between fault tree and Bayesian network. Then, the prior probability of UB + fault points are obtained according to the five-year fault dataset of FAW Volkswagen Reck system, and the relevant conditional probabilities are determined by fuzzy set theory due to the lack of data and the uncertainty in expert scoring. Finally, the relevant fault point probability values are determined according to the Bayesian network inference algorithm in the case of single or parallel UB + fault sign occurring, and the fault diagnosis sequence is guided, further improving fault diagnosis efficiency.

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37

Xin, Song, Xiaozhen Zhu, Shangxiao Liu, and Jianghui Guo. "Research on Fault Tree Reconstruction Based on Contingency." Processes 10, no. 2 (February 21, 2022): 427. http://dx.doi.org/10.3390/pr10020427.

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The fault tree analysis (FTA) method is an important analysis method for safety system engineering. Traditional accident analysis theory agrees that basic events lead to top events, but it does not fully consider that the accident process is accidental, and the calculation results exaggerate the probability of accident occurrence. This paper selects typical collision accidents, analyzes the shortcomings of the existing fault tree, indicates that there is a contingency in the accident process, constructs a probability fault tree based on the traditional fault tree, and puts forward concepts of “probability AND gate” and “probability OR gate”. In addition, based on the traditional quantitative analysis method of fault trees, calculations of the occurrence probability, probability importance coefficient, and critical importance coefficient of top events are modified, and the modified quantitative calculation is applied to accident cases.

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38

Ma, Jian Wei, Wan Jian Yin, Jin Gang Ma, and Qing Shan Ji. "Fault Tree Analysis of Vehicle Charging System." Advanced Materials Research 588-589 (November 2012): 401–6. http://dx.doi.org/10.4028/www.scientific.net/amr.588-589.401.

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The composition and function of vehicle charging system are analyzed, and basic theory of fault tree analysis method is introduced. The qualitative analysis of its reliability is carried out. Fault tree model of vehicle charging system is built, the minimum cut sets are solved and the key parts are found out. Through quantitative analysis, the occurrence probability of top event and importance of bottom event are solved, which provides theoretical basis for fault diagnoses of vehicle charging system, saves time of fault diagnoses and reduces unnecessary disassembly.

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39

Yan, Sheng Chao, Li Sha Chen, and Juan Qi. "Fault Analysis of Communication Network Based on Combined Rules of Fault-Tree and Code Book." Applied Mechanics and Materials 556-562 (May 2014): 5072–75. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.5072.

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In order to find the fault root cause for power communication network alarms, it uses the fault analysis rules base which based on the method rules’ combination of fault-alarm event tree and code book, and also combines the gradual accumulated troubleshooting case base to achieve the intelligent analysis and processing of faults. This fault analysis technique, which combined the rules and cases, has improved the troubleshooting level of the power communication network.

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40

Byun, Sungil, Mayorkinos Papaelias, Fausto Pedro García Márquez, and Dongik Lee. "Fault-Tree-Analysis-Based Health Monitoring for Autonomous Underwater Vehicle." Journal of Marine Science and Engineering 10, no. 12 (December 2, 2022): 1855. http://dx.doi.org/10.3390/jmse10121855.

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Undersea terrain and resource exploration missions using autonomous underwater vehicles (AUVs) require a great deal of time. Therefore, it is necessary to monitor the state of the AUV in real time during the mission. In this paper, we propose an online health-monitoring method for AUVs using fault-tree analysis. The entire system is divided into four subsystems. Fault trees of each subsystem are designed based on the information of performance and reliability. Using the given subsystem fault trees, the health status of the entire system is evaluated by considering the performance, reliability, fault status, and weight factors of the parts. The effectiveness of the proposed method is demonstrated through simulations with various scenarios.

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41

Zhang, Ning, Le Jun Chi, and Hai Yan Xu. "Domain Names Based on Fault Tree Analysis." Applied Mechanics and Materials 667 (October 2014): 143–48. http://dx.doi.org/10.4028/www.scientific.net/amm.667.143.

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The success rate of domain name resolution has a direct influence on the service of DNS. Analytical performance of DNS server is the key to measure the satisfaction degree of users when they access to the network. This article establishes the dependence model for the domain name server. In order to get DNS fault model and analytical model, this article uses Fault Tree Analysis theory to describe the relationship of tree basic events and target events of fault tree of dependency. On the basis of fault tree model, dependencies of domain names are qualitative analyzed, including number of sets and element composition of fault model and analytical model. This study provided a theoretical basis for DNS dependencies and technical support for the DNS vulnerability analysis. It has a great importance for domain name system security.

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42

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

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43

Fu, Zhenliang, Na Li, Xueyan Tian, Yonghua Li, and Ziqiang Sheng. "Reliability Analysis of Metro Door System Based on Fuzzy Multi-State Bayesian Network." Journal of Engineering and Technological Sciences 53, no. 5 (November 11, 2021): 210509. http://dx.doi.org/10.5614/j.eng.technol.sci.2021.53.5.9.

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Considering the shortcomings of the fault tree analysis (FTA) method in the reliability analysis of metro door systems, Bayesian network (BN) and fuzzy theory were introduced to establish the failure probability model of a metro door system. A fault tree of the metro door system was established based on the structure of the metro door, the operation data record and the practical experience of relevant engineers. The BN of the metro door system was constructed based on the fault tree. For the problem that the prior probabilities of root nodes with missing data were unavailable, fuzzy theory was introduced to convert the expert language values on these missing data nodes to corresponding prior probabilities, which were substituted into the BN along with the root nodes whose prior probabilities were obtained from the operation fault data to calculate the leaf node probability. Cause analysis of the metro door system was performed with bi-directional reasoning of BN, which provided a way to find the key factors that caused door faults and the metro door system fault probabilities.

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44

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

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

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45

Gao, Xiang, Tao Zhang, Hong Jin Liu, and Jian Gong. "Spacecraft Fault Diagnosis Based on Telemetry Data Mining and Fault Tree Analysis and Design of Expert System." Advanced Materials Research 760-762 (September 2013): 1062–66. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.1062.

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In this paper, a fault diagnosis method for spacecraft based on telemetry data mining and fault tree analysis was proposed. Decision trees are constructed from the history telemetry data of the spacecraft, and are used to classify the current data which is unknown whether it is fault. If there is a fault, the fault tree method will be used to analyze the fault reason and the impact on the spacecraft system. This method can effectively solve the problem of diagnostic knowledge acquisition. We design and construct a fault diagnosis expert system for spacecraft based on this diagnosis method. An experiment is presented to prove the effectiveness and practicality of the expert system.

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Pan, Ya Wei, Quan Yu Yu, and Fei Wang. "Failure Analysis of Automotive Differential Based on the Fault Tree." Advanced Materials Research 1049-1050 (October 2014): 871–74. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.871.

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The paper analyzes a variety of reasons differential fault automobile differential and establishes the corresponding fault tree by using Fault Tree Analysis of reliability theory. The failure spectrum of automobile differential is constructed through qualitative analysis of the fault tree. Meanwhile the study gives the theoretical methods about the solving of top event’s probability and bottom event’s importance for design, fault diagnosis and repair of automobile differential.

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Yu, Quanyu, Jie Liu, and Kangkang Zhang. "The Computer Aided Fault Tree Modeling and Analysis of the Refrigerator Evaporator Failure." Open Mechanical Engineering Journal 8, no. 1 (March 21, 2014): 26–30. http://dx.doi.org/10.2174/1874155x01408010026.

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The paper analyzes the various factors that cause failure of refrigerator evaporator. The refrigerator evaporator failure spectrum is constructed through qualitative analysis of the fault tree system after building a corresponding fault tree system. There is an analysis procedure of fault tree system based on computer aided fault tree analysis system (CAFTA).

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Cheng, Xiaoyu, Shanshan Liu, Wei He, Peng Zhang, Bing Xu, Yawen Xie, and Jiayuan Song. "A Model for Flywheel Fault Diagnosis Based on Fuzzy Fault Tree Analysis and Belief Rule Base." Machines 10, no. 2 (January 20, 2022): 73. http://dx.doi.org/10.3390/machines10020073.

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In the fault diagnosis of the flywheel system, the input information of the system is uncertain. This uncertainty is mainly caused by the interference of environmental factors and the limited cognitive ability of experts. The BRB (belief rule base) shows a good ability for dealing with problems of information uncertainty and small sample data. However, the initialization of the BRB relies on expert knowledge, and it is difficult to obtain the accurate knowledge of flywheel faults when constructing BRB models. Therefore, this paper proposes a new BRB model, called the FFBRB (fuzzy fault tree analysis and belief rule base), which can effectively solve the problems existing in the BRB. The FFBRB uses the Bayesian network as a bridge, uses an FFTA (fuzzy fault tree analysis) mechanism to build the BRB’s expert knowledge, uses ER (evidential reasoning) as its reasoning tool, and uses P-CMA-ES (projection covariance matrix adaptation evolutionary strategies) as its optimization model algorithm. The feasibility and superiority of the proposed method are verified by an example of a flywheel friction torque fault tree.

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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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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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