Статті в журналах: "Dynamic fault tree"

1

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

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2

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

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3

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

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

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

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5

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

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

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6

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

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Fault tree analysis is a well-structured, precise, and powerful tool for system evaluation. However, the conventional approach has been found to be inadequate to deal with the absence of fault data, failure dependency, and uncertainty problems. This paper presents a comprehensive study on the evaluation of data communication system (DCS) using dynamic fault tree approach based on fuzzy set. It makes use of the advantages of the dynamic fault tree for modelling, fuzzy set theory for handling uncertainty, and Bayesian network (BN) for inference ability. Specifically, it adopts expert elicitation and fuzzy set theory to evaluate the failure rates of the basic events for DCS and uses a dynamic fault tree model to capture the dynamic failure mechanisms. Furthermore, some reliability parameters can be calculated by mapping a dynamic fault tree into an equivalent BN. The results show that the proposed method is more flexible and adaptive than conventional fault tree analysis for fault diagnosis and reliability estimation of DCS.

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7

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

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8

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

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9

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

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

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10

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

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11

Chengyu, YAO, RAO Leqing, CHEN Dongning, HOU Xin, Lü Shijun, and YU Chuanyu. "T-S Dynamic Fault Tree Analysis Method." Journal of Mechanical Engineering 55, no. 16 (2019): 17. http://dx.doi.org/10.3901/jme.2019.16.017.

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12

Wu, Jianing, and Shaoze Yan. "Fault Severity Evaluation and Improvement Design for Mechanical Systems Using the Fault Injection Technique and Gini Concordance Measure." Mathematical Problems in Engineering 2014 (2014): 1–20. http://dx.doi.org/10.1155/2014/416048.

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A new fault injection and Gini concordance based method has been developed for fault severity analysis for multibody mechanical systems concerning their dynamic properties. The fault tree analysis (FTA) is employed to roughly identify the faults needed to be considered. According to constitution of the mechanical system, the dynamic properties can be achieved by solving the equations that include many types of faults which are injected by using the fault injection technique. Then, the Gini concordance is used to measure the correspondence between the performance with faults and under normal operation thereby providing useful hints of severity ranking in subsystems for reliability design. One numerical example and a series of experiments are provided to illustrate the application of the new method. The results indicate that the proposed method can accurately model the faults and receive the correct information of fault severity. Some strategies are also proposed for reliability improvement of the spacecraft solar array.

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13

Huang, Zheng Ting, Zhong Sheng Wang, and Zhen Bao Liu. "Fault Diagnosis of Aircraft Power Supply Based on Priority Dynamic Fault Tree." Advanced Materials Research 443-444 (January 2012): 229–36. http://dx.doi.org/10.4028/www.scientific.net/amr.443-444.229.

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In this paper, we propose a novel fault diagnosis method for aircraft power supply system. We constructed the Dynamic Fault Tree (DFT) of the Constant Speed Constant Frequency Alternation Current (CSCF-AC) power supply system based on the Priority Dynamic Fault Tree (PDFT). And by adding a new temporal operator BEFORE (BF) to the usual Boolean operators, we derived the structure function of the top event. Then two laws were provided to reduce this structure function to a sum-of-product canonical form, where each product term defined a minimal cut set (MCS) or a minimal cut sequence set (MCSS) of this fault tree. This approach provides a complete qualitative description of the system without resorting to the corresponding Markov model. Then a 3-layer network diagnosis system was designed and realized for the fault diagnosis of aircraft power supply, including onboard layer, ground maintenance layer and remote expert layer. This 3-layer system enhances the flow of complex fault data into higher expert layer to realize the advanced diagnosis.

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14

Huiyang, Chun, and Lu Yao. "Research of the Formal Model and Simulation Based on CPN of Dynamic Fault Tree." International Journal of Engineering and Technology 8, no. 5 (May 2016): 329–33. http://dx.doi.org/10.7763/ijet.2016.v8.907.

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15

HU, Nong-Da, Da-Wei WANG, and Ning-Hui SUN. "Distributed Dynamic Fault-Tolerant Routing in Fat Tree." Chinese Journal of Computers 33, no. 10 (December 1, 2010): 1799–808. http://dx.doi.org/10.3724/sp.j.1016.2010.01799.

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16

Moulahi, Tarek, Ahmed Almuhirat, and Lamri Laouamer. "Fault-Tolerant Energy-Efficient Tree in Dynamic WSNs." International Journal of Ad hoc, Sensor & Ubiquitous Computing 4, no. 2 (April 30, 2013): 79–91. http://dx.doi.org/10.5121/ijasuc.2013.4206.

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17

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

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18

Jiang, Guang-Jun, Zong-Yuan Li, Guan Qiao, Hong-Xia Chen, Hai-Bin Li, and Hong-Hua Sun. "Reliability Analysis of Dynamic Fault Tree Based on Binary Decision Diagrams for Explosive Vehicle." Mathematical Problems in Engineering 2021 (April 9, 2021): 1–13. http://dx.doi.org/10.1155/2021/5559475.

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Dynamic fault tree is often used to analyze system reliability. The Markov model is a commonly used method, which can accurately reflect the relationship between the state transition process and the dynamic logic gate transfer in the dynamic fault tree. When the complexity or scale of system is increasing, the Markov model encountered a problem of state space explosion leading to increase troubles. To solve the above problems, a modular approach is needed. Based on the modular approach, a hybrid fault module was researched in this paper. Firstly, the stackable fault subtree containing complex static/dynamic logic gate is transformed into four common combinational logic gates through preprocessing of the dynamic gate in the module. Then, the complexity of the model was reduced by incorporating four common combinational logic gates and using the binary decision graph to solve variable ordering in the calculation of failure probability of static subtree. Moreover, the calculating process of complex mixed logic gate fault tree can be simplified. An example of the ammonium nitrate/fuel explosive production system for BCZH-15 explosive vehicle was used to verify the feasibility of the presented method.

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19

Sun, Honghua, Lipeng Xu, Guangjun Jiang, and Hongxia Chen. "Reliability Analysis of Tape Winding Hydraulic System Based on Continuous-Time T-S Dynamic Fault Tree." Mathematical Problems in Engineering 2022 (February 26, 2022): 1–12. http://dx.doi.org/10.1155/2022/8499605.

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It is necessary to make the tape winding system have good reliability. Because the power system usually is a pneumatic or hydraulic system, the static reliability analysis lacks the ability to describe the dynamic state transfer, component fault correlation, and propagation effect of the system; it is difficult to accurately reflect the actual behavior of the complex system. Most of the existing research results lack the situation that the importance of bottom events changes with time; only a single number cannot express the impact of bottom events on top events at different times. Therefore, this study uses the dynamic reliability analysis method to quantitatively analyze the reliability of the tape winding power hydraulic system. Firstly, the dynamic reliability model of hydraulic system is established by using the continuous-time T-S dynamic fault tree to solve the fault rate of the system. Secondly, the results are compared with the traditional Markov chain analysis method of dynamic fault tree. The feasibility and advantages of the continuous-time T-S dynamic fault tree analysis method are verified. Finally, the probability importance and key importance of the system unit are calculated, and the law of importance changing with time is expressed. According to the importance of different time, it can help the regular maintenance and fault diagnosis of equipment.

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20

Wang, Yan Hui, Li Feng Bi, and Li Jie Li. "Reliability Analysis of Plug Door System Based on Dynamic Fault Tree." Applied Mechanics and Materials 627 (September 2014): 207–11. http://dx.doi.org/10.4028/www.scientific.net/amm.627.207.

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The plug door system is an important guarantee of the safe operation of the emu, since it has structural redundancy, correlation function and fault dynamic characteristics, this paper uses the dynamic fault tree analysis method for reliability analysis. In deep understanding of the basis of the structure and working principle of the plug door, dynamic fault tree model is established by the way of structure ontology, Module iteration is introduced , and the Markov method is adopted to solve the reliability. At the last, we obtained the equipment failure rate and the reliability of the whole system.

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21

Fahmy, R. A., and R. I. Gomaa. "Dynamic fault tree analysis of auxiliary feedwater system in a pressurized water reactor." Kerntechnik 86, no. 2 (March 30, 2021): 164–72. http://dx.doi.org/10.1515/kern-2020-0067.

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Abstract The safe and secure designs of any nuclear power plant together with its cost-effective operation without accidents are leading the future of nuclear energy. As a result, the Reliability, Availability, Maintainability, and Safety analysis of NPP systems is the main concern for the nuclear industry. But the ability to assure that the safety-related system, structure, and components could meet the safety functions in different events to prevent the reactor core damage requires new reliability analysis methods and techniques. The Fault Tree Analysis (FTA) is one of the most widely used logic and probabilistic techniques in system reliability assessment nowadays. The Dynamic fault tree technique extends the conventional static fault tree (SFT) by considering the time requirements to model and evaluate the nuclear power plant safety systems. Thus this paper focuses on developing a new Dynamic Fault Tree for the Auxiliary Feed-water System (AFWS) in a pressurized water reactor. The proposed dynamic model achieves a more realistic and accurate representation of the AFWS safety analysis by illustrating the complex failure mechanisms including interrelated dependencies and Common Cause Failure (CCF). A Simulation tool is used to simulate the proposed dynamic fault tree model of the AFWS for the quantitative analysis. The more realistic results are useful to establish reliability cantered maintenance program in which the maintenance requirements are determined based on the achievement of system reliability goals in the most cost-effective manner.

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22

Duan, Rongxing, and Jinghui Fan. "Dynamic Diagnosis Strategy for Redundant Systems Based on Reliability Analysis and Sensors under Epistemic Uncertainty." Journal of Sensors 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/592142.

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Fault tolerant technology is often used to improve systems reliability. However, high reliability makes it difficult to get sufficient fault samples, resulting in epistemic uncertainty, which increases significantly challenges in these systems diagnosis. A novel dynamic diagnosis strategy for complex systems is proposed to improve the diagnostic efficiency in the paper, which makes full use of dynamic fault tree, Bayesian networks (BN), fuzzy sets theory, and TOPSIS. Specifically, it uses a dynamic fault tree to model dynamic fault modes and evaluates the failure rates of the basic events using fuzzy sets to deal with epistemic uncertainty. Furthermore, it generates qualitative structure information based on zero-suppressed binary decision diagrams and calculates quantitative parameters provided by reliability analysis using a hybrid approach. Additionally, sensors data are incorporated to update the qualitative information and quantitative parameters. Qualitative information, quantitative parameters, and previous diagnosis result are taken into account to design a new dynamic diagnosis strategy which can locate the fault at the lowest cost. Finally, a case study is given to verify the developed approach and to demonstrate its effectiveness.

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23

Hurdle, E. E., L. M. Bartlett, and J. D. Andrews. "Fault diagnostics of dynamic system operation using a fault tree based method." Reliability Engineering & System Safety 94, no. 9 (September 2009): 1371–80. http://dx.doi.org/10.1016/j.ress.2009.02.013.

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24

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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25

Pang, Jihong, Jinkun Dai, Chaohui Zhang, Hongyong Zhou, and Yong Li. "A New Dynamic Fault Tree Analysis Method of Electromagnetic Brakes Based on Bayesian Network Accompanying Wiener Process." Symmetry 14, no. 5 (May 9, 2022): 968. http://dx.doi.org/10.3390/sym14050968.

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Product fault diagnosis has always been the focus of quality and reliability research. However, a failure–rate curve of some products is a symmetrical function, the fault analysis result is not true because the failure period of the products cannot be judged accurately. In order to solve the problem of fault diagnosis, this paper proposes a new Takagi-Sugeno (T-S) dynamic fault tree analysis method based on a Bayesian network accompanying the Wiener process. Firstly, the top event, middle event, and bottom event of the product failure mode are determined, and the T-S dynamic fault tree is constructed. Secondly, in order to form the Bayesian network diagram of the T-S dynamic fault tree, the events in the fault tree are transformed into nodes, and the T-S dynamic gate is also transformed into directed edges. Then, the Wiener process is used to model the performance degradation process of the stationary independent increment of the symmetric function distribution, and the maximum likelihood estimation method is applied to estimate the unknown parameters of the degradation model. Next, the product residual life prediction model is established based on the concept of first arrival time, and a symmetric function of failure–rate curve is obtained by using the product failure probability density function. According to the fault density function derived from the Wiener process, the reverse reasoning algorithm of the Bayesian network is established. Combined with the prior probability of the bottom event, the posterior probability of the root node is calculated and sorted as well. Finally, taking the insufficient braking force of electromagnetic brakes as an example, the practicability and objectivity of the new method are proved.

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26

Sun, Li Na, Ning Huang, and Zheng Zhao. "Reliability Analysis for AFDX Network Based on Dynamic Fault Tree." Applied Mechanics and Materials 743 (March 2015): 617–22. http://dx.doi.org/10.4028/www.scientific.net/amm.743.617.

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As the basis for comprehensive integration of the aircraft, AFDX network has been widely used in avionics network. AFDX’s reliability analysis and verification is particularly important according to the requirements of airworthiness. The transmission process, components and functional contact between components of AFDX network is analyzed in this paper. Dynamic fault tree (DFT) is used to model AFDX network reliability according to network fault characteristics. This analysis process has two contributions for network reliability analysis. Firstly, the analysis of AFDX network failures is implemented to device-level, which is facilitated to quantitative calculations in engineering. Secondly, end system and switch system, the core subsystem in transmission of AFDX, are analyzed and modeled, besides fault of redundant network.

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27

Sihite, Josep Franklin, and Takehisa Kohda. "Assessing the Reliability of Power Transformer by Quantitative Fault Tree Analysis." Advanced Materials Research 694-697 (May 2013): 901–6. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.901.

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The purpose of this paper is assessing the reliability of power transformer for a switchyard by quantitative fault tree analysis. First step is determines if the fault tree is static or dynamic. To generated exact calculated results, the static entities are computed using standard combinatorial techniques. The dynamic entities are transformed into equivalent Markov models. The results for these various entities are then brought together using techniques employed for generalized fault tree analysis to produce exact calculations. The reliability of power transformer systems of GI Simangkuk switchyard in Indonesia was assessed and the main contributors have been identified. This result will help the decision maker to improve the reliability of power transformer system.

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28

Rocha, Rogério C. N., Rafael A. Soares, Laércio I. Santos, Murilo O. Camargos, Petr Ya Ekel, Matheus P. Libório, Angélica C. G. dos Santos, Francesco Vidoli, and Marcos F. S. V. D’Angelo. "A New Fault Classification Approach Based on Decision Tree Induced by Genetic Programming." Processes 12, no. 4 (April 18, 2024): 818. http://dx.doi.org/10.3390/pr12040818.

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This research introduces a new data-driven methodology for fault detection and isolation in dynamic systems, integrating fuzzy/Bayesian change point detection and decision trees induced by genetic programming for pattern classification. Tracking changes in sensor signals enables the detection of faults, and using decision trees generated by genetic programming allows for accurate categorization into specific fault classes. Change point detection utilizes a combination of fuzzy set theory and the Metropolis–Hastings algorithm. The primary contribution of the study lies in the development of a distinctive classification system, which results in a comprehensive and highly effective approach to fault detection and isolation. Validation is carried out using the Tennessee Eastman benchmark process as an experimental framework, ensuring a rigorous evaluation of the efficacy of the proposed methodology.

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29

Chiacchio, Aizpurua, Compagno, Khodayee, and D’Urso. "Modelling and Resolution of Dynamic Reliability Problems by the Coupling of Simulink and the Stochastic Hybrid Fault Tree Object Oriented (SHyFTOO) Library." Information 10, no. 9 (September 11, 2019): 283. http://dx.doi.org/10.3390/info10090283.

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Dependability assessment is one of the most important activities for the analysis of complex systems. Classical analysis techniques of safety, risk, and dependability, like Fault Tree Analysis or Reliability Block Diagrams, are easy to implement, but they estimate inaccurate dependability results due to their simplified hypotheses that assume the components’ malfunctions to be independent from each other and from the system working conditions. Recent contributions within the umbrella of Dynamic Probabilistic Risk Assessment have shown the potential to improve the accuracy of classical dependability analysis methods. Among them, Stochastic Hybrid Fault Tree Automaton (SHyFTA) is a promising methodology because it can combine a Dynamic Fault Tree model with the physics-based deterministic model of a system process, and it can generate dependability metrics along with performance indicators of the physical variables. This paper presents the Stochastic Hybrid Fault Tree Object Oriented (SHyFTOO), a Matlab® software library for the modelling and the resolution of a SHyFTA model. One of the novel features discussed in this contribution is the ease of coupling with a Matlab® Simulink model that facilitates the design of complex system dynamics. To demonstrate the utilization of this software library and the augmented capability of generating further dependability indicators, three different case studies are discussed and solved with a thorough description for the implementation of the corresponding SHyFTA models.

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30

Stefanovych, T. O., and S. V. Shcherbovskykh. "Account of the errors of switching device for a system with 2-out-of-3 redundancy." Information extraction and processing 2017, no. 45 (December 26, 2017): 56–62. http://dx.doi.org/10.15407/vidbir2017.45.056.

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The mathematical reliability model is developed that takes into account the errors of the first and second type of switching device for a system with 2-out-of-3 redundancy. The proposed model is designed to determine the reliability characteristic. The system consists of three identical energy sources and two switching devices. It is assumed that the system is the non-renewable and the switching devices cannot return to their original state. A fault tree mathematically describes the reliability of the system in which the logical conditions for the mutual influence of the components of the system and switching devices are specified. At the first stage, the fault tree is constructed for the system with ideal switching devices, e. g. they operate instantly and do not allow errors. At the second stage, the features of creating a dynamic k-terminal fault tree are considered taking into account the errors of the first and second kind. It is shown that to describe the system it is necessary to take into account six dynamic phenomena. Based on the fault trees, Markov models for the systems are constructed. Using this model, it is analyzed how the errors of the first and second type of switching devices influence the reliability characteristic of the system.

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31

Wang, Wei Han, De Kun Zhang, Gang Cheng, and Li Hua Shen. "The Dynamic Fault Tree Analysis of Not-Cutting Failure for MG550/1220 Electrical Haulage Shearer." Applied Mechanics and Materials 130-134 (October 2011): 646–49. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.646.

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The electrical haulage shearer is an important coal mining machine, and the reliability of cutting unit plays an important role in improving the production efficiency. First of all, the dynamic fault tree of not-cutting failure for the MG550/1220 electrical haulage shearer was established. The dynamic fault tree was analyzed by the binary decision diagram and Markov method in the manner of modular approach. Eventually, the minimum cut sets, the top event unreliability and the importance measures of dynamic fault tree were obtained. Research shows that the improper installation of first shaft bearing, the cage off of the first shaft bearing, the cutting motor damage and the poor quality of lubricating oil are the principal contributor to the not-cutting failure of the shear. Consequently, these parts should be given more attention in the optimization design and routing maintenance.

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32

Chen, Yafeng, Jing Wen, Yingjie Tian, Shubin Zheng, Qianwen Zhong, and Xiaodong Chai. "Dynamic Reliability Assessment Method for a Pantograph System Based on a Multistate T-S Fault Tree, Dynamic Bayesian." Applied Sciences 13, no. 19 (September 26, 2023): 10711. http://dx.doi.org/10.3390/app131910711.

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The operational reliability of rail vehicle pantograph systems is evaluated by transforming T-S multistate fault trees into dynamic Bayesian networks (DBNs), which take into account system multistability, long-lasting operation, dynamic failure, and maintenance recovery. The T-S multistate fault tree structure is constructed by the content validity ratio and content validity index; the T-S gate rule expressing causal uncertainty is constructed by using fuzzy theory and dependent uncertain ordered weighted averaging expert scoring, and finally, the pantograph T-S multistate fault tree is transformed into a DBN model characterizing the dynamic interaction and time dependence of the system. The dynamic evolution laws of reliability of a pantograph system in maintenance and maintenance-free states over time are inferred, compared and analyzed. The results show that the system availability of a pantograph system decreases continuously during 720 days of operation. The system availability without maintenance decreases to 0.881, and the system availability with maintenance is 0.952. The reliability of a pantograph system can be effectively ensured with maintenance during the operation period; the sensitivity analysis is performed by changing the failure rate of the equipment to 120% or 80%; the fall indicator, the electrical control box, and the elevating bow motor are the weak links in the system, and the impact of fault escalation on the reliability of a pantograph system is analyzed. It is then verified that the system reliability can be further improved by using a preventive maintenance strategy, and the steady-state reliability can be gradually reached, which is about 0.9968, providing a reference for the maintenance of a pantograph system.

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33

Chengyu, YAO, WANG Chuanlu, CHEN Dongning, WEI Xing, and Lü Shijun. "Continuous-time T-S Dynamic Fault Tree Analysis Method." Journal of Mechanical Engineering 56, no. 10 (2020): 244. http://dx.doi.org/10.3901/jme.2020.10.244.

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34

Kang, Hyun-Gook, and Seung-Cheol Jang. "FAULT-TREE-BASED RISK ASSESSMENT FOR DYNAMIC CONDITION CHANGES." Nuclear Engineering and Technology 39, no. 2 (April 30, 2007): 123–28. http://dx.doi.org/10.5516/net.2007.39.2.123.

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35

Volk, Matthias, Sebastian Junges, and Joost-Pieter Katoen. "Fast Dynamic Fault Tree Analysis by Model Checking Techniques." IEEE Transactions on Industrial Informatics 14, no. 1 (January 2018): 370–79. http://dx.doi.org/10.1109/tii.2017.2710316.

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Simeu-Abazi, Zineb, Arnaud Lefebvre, and Jean-Pierre Derain. "A methodology of alarm filtering using dynamic fault tree." Reliability Engineering & System Safety 96, no. 2 (February 2011): 257–66. http://dx.doi.org/10.1016/j.ress.2010.09.005.

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37

Kabir, Sohag, Koorosh Aslansefat, Ioannis Sorokos, Yiannis Papadopoulos, and Savas Konur. "A Hybrid Modular Approach for Dynamic Fault Tree Analysis." IEEE Access 8 (2020): 97175–88. http://dx.doi.org/10.1109/access.2020.2996643.

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38

Guo, Lijie, and Jianxin Kang. "An extended HAZOP analysis approach with dynamic fault tree." Journal of Loss Prevention in the Process Industries 38 (November 2015): 224–32. http://dx.doi.org/10.1016/j.jlp.2015.10.003.

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39

Abdo, H., and J.-M. Flaus. "Monte Carlo simulation to solve fuzzy dynamic fault tree*." IFAC-PapersOnLine 49, no. 12 (2016): 1886–91. http://dx.doi.org/10.1016/j.ifacol.2016.07.905.

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40

Xu, Zhixin, Dingqing Guo, Jinkai Wang, Xueli Li, and Daochuan Ge. "A numerical simulation method for a repairable dynamic fault tree." Eksploatacja i Niezawodnosc - Maintenance and Reliability 23, no. 1 (January 2, 2021): 34–41. http://dx.doi.org/10.17531/ein.2021.1.4.

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Анотація:

Dynamic fault trees are important tools for modeling systems with sequence failure behaviors. The Markov chain state space method is the only analytical approach for a repairable dynamic fault tree (DFT). However, this method suffers from state space explosion, and is not suitable for analyzing a large scale repairable DFT. Furthermore, the Markov chain state space method requires the components’ time-to-failure to follow exponential distributions, which limits its application. In this study, motivated to efficiently analyze a repairable DFT, a Monte Carlo simulation method based on the coupling of minimal cut sequence set (MCSS) and its sequential failure region (SFR) is proposed. To validate the proposed method, a numerical case was studied. The results demonstrated that our proposed approach was more efficient than other methods and applicable for repairable DFTs with arbitrary time-to-failure distributed components. In contrast to the Markov chain state space method, the proposed method is straightforward, simple and efficient.

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41

Chen, Lihai, Ma Fang, Ming Qiu, Yanfang Dong, Xiaoxu Pang, Junxing Li, and Chuanmeng Yang. "Analyzing Vibration Mechanism of Angular Contact Ball Bearing with Compound Faults on Inner and Outer Rings." Shock and Vibration 2021 (December 2, 2021): 1–18. http://dx.doi.org/10.1155/2021/9951110.

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This paper investigates a method to dynamically model compound faults on the inner and outer rings of an angular contact ball bearing as well as their effects on its dynamic behavior. Gupta’s dynamic modeling method is used to consider changes in the deformation and direction of the contact load when the ball passes through the damaged area and to develop a dynamic model of compound faults in the angular contact ball bearing. The step-changing fourth-order Runge–Kutta method is used to solve the dynamic compound fault model. The time-domain signal of vibration responses in the case of a single fault in the inner and outer rings exhibited a certain periodicity, and the frequency of faults in the envelope spectrum was clear. By comparison, the periodicity of compound faults was not clear. The signals of compound faults were decomposed by the dual-tree complex wavelet transform to identify their characteristic frequency. Errors occurred between the characteristic frequency of the theoretical fault and its simulated value. They increased with the rotational speed and decreased with an increase in axial load, whereas the influence of radial load on them was minor. For compound faults on the inner and outer rings of an angular contact ball bearing, this study provides a modeling method that can describe changes in the deformation and direction of the contact load when the ball passes through the damaged area of the inner and outer rings. The work here can provide an important foundation for fault identification in angular contact ball bearings.

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Ibáñez-Llano, C., E. Meléndez, and Nieto F. "Variable ordering schemes to apply to the binary decision diagram methodology for event tree sequences assessment." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 222, no. 1 (March 1, 2008): 7–16. http://dx.doi.org/10.1243/1748006xjrr67.

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Binary decision diagram (BDD) methodology is the most recent approach to improve Boolean reliability models assessment. The final size of the BDD, and therefore the ultimate benefits of this technique, are very sensitive to the initial variable ordering that has to be fixed prior to conversion. Several variable ordering strategies have been proposed in the literature, all of them focused on the treatment of single fault tree models. This paper proposes some extensions of existing variable ordering schemes for the case of combinations of non-disjoint fault trees, as is the case in quantifying sequences of event trees. These extensions work by combining ordering schemes applied to each fault tree, and exploring the cases where variables within the domains intersection are kept together or not. They have been specifically designed to be applied together with an incremental procedure to compute the BDD of the sequence accumulatively and to be used to quantify sequences of dynamic event trees. Preliminary results show the potential of this approach.

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43

Cheliyan, A. S., and S. K. Bhattacharyya. "Dynamic fault tree analysis of dynamic positioning system using Monte Carlo approach." Safety in Extreme Environments 1, no. 1-3 (August 13, 2019): 1–9. http://dx.doi.org/10.1007/s42797-019-00001-w.

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44

Kaur, Jaspreet, and Amit Kumar Bindal. "Dynamic Reconfiguration of Network Partition Under the Constraints of Hostile Environment." Journal of Computational and Theoretical Nanoscience 17, no. 6 (June 1, 2020): 2653–57. http://dx.doi.org/10.1166/jctn.2020.8961.

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Node failure may interrupt the smooth network operations of a sensor network. A faulty node may choke the entire network. Fault detection and recovery provisions may extend the network life span. In this paper, a recovery mechanism is proposed to handle the partitioned network using instant reconfiguration method based on minimum spanning tree. Performance of the proposed method is analyzed using different routing protocols (AODV/LEACH/DSDV) under the constraints of partitioned network.

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Pan, Kai, Hui Liu, Xiaoqing Gou, Rui Huang, Dong Ye, Haining Wang, Adam Glowacz, and Jie Kong. "Towards a Systematic Description of Fault Tree Analysis Studies Using Informetric Mapping." Sustainability 14, no. 18 (September 12, 2022): 11430. http://dx.doi.org/10.3390/su141811430.

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Fault tree analysis (FTA) is one of the important analysis methods of safety system engineering commonly utilized in various industries to evaluate and improve the reliability and safety of complex systems. To grasp the current situation and development trend of FTA research and to further point out FTA’s future development directions, 1469 FTA-related articles from the literature were retrieved from the SCIE and SSCI databases. Informetric methods, including co-authorship analysis, co-citation analysis and co-occurrence analysis, were adopted for analyzing the cooperation relationship, research knowledge base, research hotspots and frontier in the FTA research field. The results show that China has the highest number of publications, and the Loughborough University of England has the highest number of publications of relevant institutions. Dynamic fault tree analysis, fuzzy fault tree analysis and FTA based on binary decision diagrams are recognized as the knowledge bases in FTA studies. “Reliability Engineering and System Safety”, “Safety Science” and “Fuzzy Sets and Systems” are the core journals in this field. Fuzzy fault tree analysis, dynamic fault tree analysis based on Bayesian networks and FTA combined with management factors may be both the main research hotspots and the frontiers. Then, by deriving the above results, this study can help scholars better master the current research status and frontiers of FTA to improve system reliability and safety.

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Zhang, Hong Lin, Chun Yuan Zhang, Dong Liu, and Ying Hong Wang. "Generation of Extended Cut Sequence Set for Dynamic Fault Tree." Advanced Materials Research 143-144 (October 2010): 211–15. http://dx.doi.org/10.4028/www.scientific.net/amr.143-144.211.

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The cut sequence describes the failure mode of the dynamic system, whose dynamic behaviors make the generation of cut sequence set very complicated. This paper brings forward the conception of extended cut sequence, which is incorporated with temporal logic and has more expressive capability than previous similar conceptions. According the type of logic gate, the minimal extended cut sequence set is generated using the basic set manipulation (union, intersection, difference and product). The expression form and generation process based on extended cut sequence are more efficient than that based on traditional cut sequence. As an example, apply this method to a famous hypothetical dynamic system. The system is modeled by dynamic fault tree and the minimal extended cut sequences are generated and analyzed. The result shows that this method can quickly acquire precise minimal extended cut sequence set.

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47

Song, Long-long, Tai-yong Wang, Xiao-wen Song, Lei Xu, and De-gang Song. "Research and Application of FTA and Petri Nets in Fault Diagnosis in the Pantograph-Type Current Collector on CRH EMU Trains." Mathematical Problems in Engineering 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/169731.

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A fault tree is established based on structural analysis, working principle analysis, and failure mode and effects analysis (FMEA) of the pantograph-type current collector on the Chinese Rail High-Speed Electric Multiple Unit (CRH EMU) train. To avoid the deficiencies of fault tree analysis (FTA), Petri nets modelling is used to address the problem of data explosion and carry out dynamic diagnosis. Relational matrix analysis is used to solve the minimal cut set equation of the fault tree. Based on the established state equation of the Petri nets, initial tokens and enable-transfer algorithms are used to express the fault transfer process mathematically and improve the efficiency of fault diagnosis inferences. Finally, using a practical fault diagnosis example for the pantographs on CRH EMU trains, the proposed method is proved to be reasonable and effective.

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Sioutas, Spyros, Efrosini Sourla, Kostas Tsichlas, Gerasimos Vonitsanos, and Christos Zaroliagis. "A Dynamic Distributed Deterministic Load-Balancer for Decentralized Hierarchical Infrastructures." Algorithms 15, no. 3 (March 18, 2022): 96. http://dx.doi.org/10.3390/a15030096.

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In this work, we propose D3-Tree, a dynamic distributed deterministic structure for data management in decentralized networks, by engineering and extending an existing decentralized structure. Conducting an extensive experimental study, we verify that the implemented structure outperforms other well-known hierarchical tree-based structures since it provides better complexities regarding load-balancing operations. More specifically, the structure achieves an O(logN) amortized bound (N is the number of nodes present in the network), using an efficient deterministic load-balancing mechanism, which is general enough to be applied to other hierarchical tree-based structures. Moreover, our structure achieves O(logN) worst-case search performance. Last but not least, we investigate the structure’s fault tolerance, which hasn’t been sufficiently tackled in previous work, both theoretically and through rigorous experimentation. We prove that D3-Tree is highly fault-tolerant and achieves O(logN) amortized search cost under massive node failures, accompanied by a significant success rate. Afterwards, by incorporating this novel balancing scheme into the ART (Autonomous Range Tree) structure, we go one step further to achieve sub-logarithmic complexity and propose the ART+ structure. ART+ achieves an O(logb2logN) communication cost for query and update operations (b is a double-exponentially power of 2 and N is the total number of nodes). Moreover, ART+ is a fully dynamic and fault-tolerant structure, which supports the join/leave node operations in O(loglogN) expected WHP (with high proability) number of hops and performs load-balancing in O(loglogN) amortized cost.

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Chen, Han, Ling Chen, and Yongfa Zhang. "Research on Reliability Analysis Method Based on Dynamic Fault Tree." Journal of Physics: Conference Series 1802, no. 4 (March 1, 2021): 042064. http://dx.doi.org/10.1088/1742-6596/1802/4/042064.

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50

Abdulkadhim, Ali Salman. "A reduction of Dynamic Fault Tree to a Simple Form." Journal of Physics: Conference Series 1879, no. 2 (May 1, 2021): 022102. http://dx.doi.org/10.1088/1742-6596/1879/2/022102.

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