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Relevant bibliographies by topics / Phased-Mission Systems

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Academic literature on the topic 'Phased-Mission Systems'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 March 2023

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Journal articles on the topic "Phased-Mission Systems"

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MO, Yu-Chang. "Mission Reliability Analysis of Generalized Phased Mission Systems." Journal of Software 18, no. 4 (2007): 1068. http://dx.doi.org/10.1360/jos181068.

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Jia, Xisheng, Wenbin Cao, and Qiwei Hu. "Selective maintenance optimization for random phased-mission systems subject to random common cause failures." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 233, no. 3 (August 13, 2018): 379–400. http://dx.doi.org/10.1177/1748006x18791724.

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In both industrial and military fields, there is such a kind of complicated system termed as phased-mission system, which executes missions composed of several different phases in sequence. The structure, failure behavior, and working conditions of such a system may change from phase to phase. The duration of each phase of such a system involved is random and follows a probability distribution, and the system may suffer some events resulting in simultaneous failures of different elements with different probabilities. In order to guarantee such a system completes the phased-mission successfully, a selective maintenance model for random phased-mission systems subject to random common cause failures is proposed to optimally identify a subset of maintenance activities to be performed on some elements of the system. Thereinto, a novel analytic model is developed to estimate the probability of the maintained random phased-mission system successfully completing the phased-mission, and we compare it with a well-known Monte Carlo Simulation approach. Finally, the proposed selective maintenance model has been successfully applied to an artillery weapon system. Comparative analysis is carried out to compare the proposed model with the traditional ones, including selective maintenance models for deterministic phased-mission systems and deterministic single-phase mission systems. The results show that ignoring some mission properties (e.g. randomness and multiple phases) in selective maintenance optimization will lead to (1) incorrect system and mission modeling, (2) incorrect computation of the probability of the random phased-mission system successfully completing a mission, and/or (3) nonoptimal selective maintenance options.

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Dai, Yuanshun, Gregory Levitin, and Liudong Xing. "Structure Optimization of Nonrepairable Phased Mission Systems." IEEE Transactions on Systems, Man, and Cybernetics: Systems 44, no. 1 (January 2014): 121–29. http://dx.doi.org/10.1109/tsmc.2013.2256127.

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Mo, Yuchang, Jinping Liao, Liudong Xing, and Xuli Liu. "Efficient Mincuts Identification for Phased-Mission Systems." IEEE Access 8 (2020): 223652–60. http://dx.doi.org/10.1109/access.2020.3045283.

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Park, Kyung S., and Young K. Yoo. "Reliability apportionment for phased-mission oriented systems." Reliability Engineering & System Safety 27, no. 3 (January 1990): 357–64. http://dx.doi.org/10.1016/0951-8320(90)90006-9.

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Zhao, Jiangbin, Zhiqiang Cai, Weitao Si, and Shuai Zhang. "Mission success evaluation of repairable phased-mission systems with spare parts." Computers & Industrial Engineering 132 (June 2019): 248–59. http://dx.doi.org/10.1016/j.cie.2019.04.038.

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Hu, Qiguo, and Jinyin He. "Path Sets Combination Method for Reliability Analysis of Phased-Mission Systems Based on Cumulative Exposure Model." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 36, no. 5 (October 2018): 995–1003. http://dx.doi.org/10.1051/jnwpu/20183650995.

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The modeling of phased-mission systems is difficult and the solving process is complex because of the relevance of the phase tasks and the sharing of components existing in different phases or between phases. To solve the problem, based on the cumulative exposure model, the path sets combination method of phased-mission systems is proposed. Aiming at the problem of the cross-stage correlation of components and its different failure rate in each phase, the cumulative exposure model considering the historical damage of components is used to solve by obtaining the cumulative damage distribution of each component in each phase. Firstly, a phased-mission systems reliability model is build by mapping phased-mission system fault trees into a Bayesian network. By traversing the Bayesian network, the minimal path sets of each phase are obtained. Secondly, the disjoint formulas introduced by variable elimination method are used to do the disjoint operation of the minimal path sets of each phase and the conditional probability relations of the common components are used to reduce the minimal path sets scale. Finally, the minimum disjoint path sets of each phase are combined and summed according to the component conditional probability relation. The path sets combination method of phased-mission systems avoids the large conditional probability table, large storage and large computation problems caused by the excessive discrete states in the traditional Bayesian method and the problem that the PMS-BDD method has strict requirements for variable ordering and is difficult to solve the system reliability with multiple failure distribution types of components. In the end, a phased-mission systems reliability modeling and solving is carried out for a geosynchronous orbit satellite, and compared with the PMS-BDD method, which verifies the correctness of the method.

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Mura, I., and A. Bondavalli. "Hierarchical modeling and evaluation of phased-mission systems." IEEE Transactions on Reliability 48, no. 4 (1999): 360–68. http://dx.doi.org/10.1109/24.814518.

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Wang, Yujie, Liudong Xing, Gregory Levitin, and Ning Huang. "Probabilistic competing failure analysis in phased-mission systems." Reliability Engineering & System Safety 176 (August 2018): 37–51. http://dx.doi.org/10.1016/j.ress.2018.03.031.

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Wang, Chaonan, Liudong Xing, and Gregory Levitin. "Probabilistic common cause failures in phased-mission systems." Reliability Engineering & System Safety 144 (December 2015): 53–60. http://dx.doi.org/10.1016/j.ress.2015.07.004.

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Dissertations / Theses on the topic "Phased-Mission Systems"

1

Matsumoto, Satoshi. "Studies on the Dependability of Phased-Mission Systems." 京都大学 (Kyoto University), 2013. http://hdl.handle.net/2433/174882.

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Stockwell, Kathryn S. "Automatic phased mission system reliability model generation." Thesis, Loughborough University, 2013. https://dspace.lboro.ac.uk/2134/13583.

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There are many methods for modelling the reliability of systems based on component failure data. This task becomes more complex as systems increase in size, or undertake missions that comprise multiple discrete modes of operation, or phases. Existing techniques require certain levels of expertise in the model generation and calculation processes, meaning that risk and reliability assessments of systems can often be expensive and time-consuming. This is exacerbated as system complexity increases. This thesis presents a novel method which generates reliability models for phasedmission systems, based on Petri nets, from simple input files. The process has been automated with a piece of software designed for engineers with little or no experience in the field of risk and reliability. The software can generate models for both repairable and non-repairable systems, allowing redundant components and maintenance cycles to be included in the model. Further, the software includes a simulator for the generated models. This allows a user with simple input files to perform automatic model generation and simulation with a single piece of software, yielding detailed failure data on components, phases, missions and the overall system. A system can also be simulated across multiple consecutive missions. To assess performance, the software is compared with an analytical approach and found to match within 5% in both the repairable and non-repairable cases. The software documented in this thesis could serve as an aid to engineers designing new systems to validate the reliability of the system. This would not require specialist consultants or additional software, ensuring that the analysis provides results in a timely and cost-effective manner.

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Zhang, Yang. "Development of BDD models for decision support in phased mission systems." Thesis, University of Nottingham, 2016. http://eprints.nottingham.ac.uk/32431/.

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Autonomous systems are becoming increasingly commonplace, with applications either existing or suggested in many different industries. As levels of autonomy increase, the need for these systems to interpret with environments in which they operating and make decisions about their own future actions following internal failures or external threats. In the past, reliability analysis methods have been suggested as having the potential to provide information that could be used in a real-time decision support tool for autonomous systems in changing environments. Real-time support is particularly important in systems such as unmanned aerial vehicles (UAV), where any delay in making a decision following a failure occurrence or the emergence of a threat could be catastrophic. Reliability Analysis can be used to calculate the failure probability of a mission such as that performed by a UAV by modelling the mission as a sequence of tasks known as a phased mission. Binary Decision Diagram models have shown great potential for analysing phased mission systems since they can produce accurate mission and phase failure probabilities in reasonably short time frames. Although research to date has shown that Binary Decision Diagrams appear to have the most promise for performing the real-time analysis that would be required as an input to a decision making tool for phased mission systems, the analysis as it stands still falls some way short of being near-instant, as it must be for decisions to be made quickly when required. In common with many systems, phased mission systems can contain components that fail in multiple failure modes. It is therefore important that multiple failure modes are modelled while developing the Binary Decision Diagram tools and techniques considered in this research. The research presented in this thesis aims to address the deficiencies seen in previous methods by investigating the Binary Decision Diagram techniques and suggesting how the techniques can be developed for use within a decision support tool where fast, accurate decision making is required. The novelty of the research is as follows: 1. Different Binary Decision Diagram models for phased mission systems are reviewed and three new Binary Decision Diagram models are proposed to improve the efficiency and accuracy of analysis for phased mission systems containing multiple failure mode components. 2. Since the size of a Binary Decision Diagram has a significant effect on the time required to quantify it and the Binary Decision Diagram size is influenced by variable ordering, nine different variable ordering schemes are investigated for phased mission systems. Eight of them are extended from fault tree analysis of single phase systems containing single failure mode components and one is newly-developed specially for use within a decision support tool. 3. Due to the potential time limitation for decision making, approximation methods are investigated to evaluate the failure probabilities in phased mission systems while trading off between accuracy and analysis efficiency. Three new approximation models are developed and their analysis efficiency advantage over the exact analysis is demonstrated testing on a large number of sample phased mission systems. A performance indicator is developed in order to facilitate the choice of approximation method taking into account accuracy and efficiency requirements. The benefits of the developed methods are demonstrated through the consideration of a case study.

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Astapenko, D. "Automated system design optimisation." Thesis, Loughborough University, 2010. https://dspace.lboro.ac.uk/2134/6863.

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The focus of this thesis is to develop a generic approach for solving reliability design optimisation problems which could be applicable to a diverse range of real engineering systems. The basic problem in optimal reliability design of a system is to explore the means of improving the system reliability within the bounds of available resources. Improving the reliability reduces the likelihood of system failure. The consequences of system failure can vary from minor inconvenience and cost to significant economic loss and personal injury. However any improvements made to the system are subject to the availability of resources, which are very often limited. The objective of the design optimisation problem analysed in this thesis is to minimise system unavailability (or unreliability if an unrepairable system is analysed) through the manipulation and assessment of all possible design alterations available, which are subject to constraints on resources and/or system performance requirements. This thesis describes a genetic algorithm-based technique developed to solve the optimisation problem. Since an explicit mathematical form can not be formulated to evaluate the objective function, the system unavailability (unreliability) is assessed using the fault tree method. Central to the optimisation algorithm are newly developed fault tree modification patterns (FTMPs). They are employed here to construct one fault tree representing all possible designs investigated, from the initial system design specified along with the design choices. This is then altered to represent the individual designs in question during the optimisation process. Failure probabilities for specified design cases are quantified by employing Binary Decision Diagrams (BDDs). A computer programme has been developed to automate the application of the optimisation approach to standard engineering safety systems. Its practicality is demonstrated through the consideration of two systems of increasing complexity; first a High Integrity Protection System (HIPS) followed by a Fire Water Deluge System (FWDS). The technique is then further-developed and applied to solve problems of multi-phased mission systems. Two systems are considered; first an unmanned aerial vehicle (UAV) and secondly a military vessel. The final part of this thesis focuses on continuing the development process by adapting the method to solve design optimisation problems for multiple multi-phased mission systems. Its application is demonstrated by considering an advanced UAV system involving multiple multi-phased flight missions. The applications discussed prove that the technique progressively developed in this thesis enables design optimisation problems to be solved for systems with different levels of complexity. A key contribution of this thesis is the development of a novel generic optimisation technique, embedding newly developed FTMPs, which is capable of optimising the reliability design for potentially any engineering system. Another key and novel contribution of this work is the capability to analyse and provide optimal design solutions for multiple multi-phase mission systems. Keywords: optimisation, system design, multi-phased mission system, reliability, genetic algorithm, fault tree, binary decision diagram

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CHAOUCH, CHAKIB. "Cyber-physical systems in the framework of audio song recognition and reliability engineering." Doctoral thesis, Chakib Chaouch, 2021. http://hdl.handle.net/11570/3210939.

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Music Information Retrieval (MIR) is the interdisciplinary discipline of extracting information from music, and it is the topic of our research. The MIR system faces a significant issue in dealing with various genres of music. Music retrieval aims at helping end-users search and finds a desired piece of music from an extensive database. In other words, Music Information retrieval tries to make music information more accessible to listeners, musicians, and data scientists. The challenges and research problems that an audio recognition system faces in everyday use might come in a variety of forms. Significant aspects are: near-identical original audio, noise, and spectral or temporal distortion invariance, a minimal length of song track required for identification, retrieval speed, and processing load are all important factors. In order to overcome these problems and achieve our goal, a Short Time Power Spectral Density (ST-PSD) fingerprinting is proposed as an innovative, efficient, highly accurate, and exact fingerprinting approach. To maintain high accuracy and specificity on hard datasets, we propose matching features based on an efficient hamming distance search on a binary type fingerprint, followed by a verification step for match hypotheses. We gradually improve this system by adding additional components like the Mel frequency bank filter and progressive probability evaluation score. Besides, we introduce a new fingerprint generation method and we present the fundamentals for generating fingerprints and we show they are robust in the song recognition process. Then, we evaluate the performance of our proposed method using a scoring measure based on the accuracy classification of thousands of Songs. Our purpose is to communicate the effectiveness of the fingerprints generated with two proposed approaches; we will show that, even without any optimized searching algorithm, the accuracy obtained in recognizing pieces of songs is very good, thus making the apprapproachropose a good candidate to be used in an effective song recognition process. I will be discussing another area of research that was done as part of my period abroad at Duke University, USA, as part of an exchange program. The topic related to reliability engineering has been incorporated. The first part focuses on the reliability and interval reliability of the Phased Mission System (PMS) with repairable components and disconnected phases, using analytical modeling as a state space-oriented method using the Continuous-time Markov chain (CTMC). The second aspect focuses on non-repairable multi-state components PMS, in which we present a practical case study of a spacecraft satellite that was used to demonstrate only the (PMS-BDD) method proposed with the implementation of Sharpe tools based on (FT) configuration in order to demonstrate the system’s reliability/unreliability in this case.

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Reed, Sean. "Methods for the efficient measurement of phased mission system reliability and component importance." Thesis, Loughborough University, 2011. https://dspace.lboro.ac.uk/2134/9086.

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An increasing number of systems operate over a number of consecutive time periods, in which their reliability structure and the consequences of failure differ, in order to perform some overall operation. Each distinct time period is known as a phase and the overall operation is known as a phased mission. Generally, a phased mission fails immediately if the system fails at any point and is considered a success only if all phases are completed without failure. The work presented in this thesis provides efficient methods for the prediction and optimisation of phased mission reliability. A number of techniques and methods for the analysis of phased mission reliability have been previously developed. Due to the component and system failure time dependencies introduced by the phases, the computational expense of these methods is high and this limits the size of the systems that can be analysed in reasonable time frames on modern computers. Two importance measures, which provide an index of the influence of each component on the system reliability, have also been previously developed. This is useful for the optimisation of the reliability of a phased mission, however a much larger number have been developed for non-phased missions and the different perspectives and functions they provide are advantageous. This thesis introduces new methods as well as improvements and extensions to existing methods for the analysis of both non-repairable and repairable systems with an emphasis on improved efficiency in the derivation of phase and mission reliability. New importance measures for phased missions are also presented, including interpretations of those currently available for non-phased missions. These provide a number of interpretations of component importance, allowing those most suitable in a given context to be employed and thus aiding in the optimisation of mission reliability. In addition, an extensive computer code has been produced that implements and tests the majority of the newly developed techniques and methods.

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LOLLINI, PAOLO. "On the Modeling and Solution of Complex Systems: From Two Domain-Specific Case-Studies Towards the Definition of a More General Framework." Doctoral thesis, 2006. http://hdl.handle.net/2158/394303.

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Mohammad, Rahamathulla. "New Methods for Reliability Evaluation and Enhancement of Power Systems." Thesis, 2013. https://vuir.vu.edu.au/25838/.

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Modern Power systems are smart, interconnected, interdependent, load sharing and phased mission systems. Reliability of such complex power systems is very important in design, planning, installation and maintenance to provide electrical energy as economical as possible with an acceptable degree of reliability. In this thesis four new methods for reliability evaluation and enhancement of power systems are presented and further an innovative cost effect cloud service based smart early warning system using machine to machine (M2M) technology to improve the reliability of power systems is presented.

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Books on the topic "Phased-Mission Systems"

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1946-, Trivedi Kishor Shridharbhai, and Institute for Computer Applications in Science and Engineering., eds. Boolean algebraic methods for phased-mission system analysis. Hampton, Va: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1997.

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1946-, Trivedi Kishor Shridharbhai, and Langley Research Center, eds. Phased-mission system analysis using Boolean algebraic methods. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.

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1946-, Trivedi Kishor Shridharbhai, and Langley Research Center, eds. Phased-mission system analysis using Boolean algebraic methods. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.

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1946-, Trivedi Kishor Shridharbhai, and Langley Research Center, eds. Phased-mission system analysis using Boolean algebraic methods. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.

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Boolean algebraic methods for phased-mission system analysis. Hampton, Va: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1997.

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National Aeronautics and Space Administration (NASA) Staff. Simplified Phased-Mission System Analysis for Systems with Independent Component Repairs. Independently Published, 2018.

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National Aeronautics and Space Administration (NASA) Staff. Phased-Mission System Analysis Using Boolean Algebraic Methods. Independently Published, 2018.

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Book chapters on the topic "Phased-Mission Systems"

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Wu, Di, Rui Peng, and Liudong Xing. "Recent Advances on Reliability of Phased Mission Systems." In Stochastic Models in Reliability, Network Security and System Safety, 19–43. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0864-6_2.

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Peng, Rui, Qingqing Zhai, and Jun Yang. "Reliability of Warm Standby Systems with Phased-Mission Requirement." In Reliability Modelling and Optimization of Warm Standby Systems, 145–59. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1792-8_9.

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Zhou, Houshun, Fang Li, Bin Hu, and Wei Huang. "A Simulation Model for Evaluating Phased Mission System Reliability." In Advances in Intelligent and Soft Computing, 255–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29637-6_33.

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"Phased-Mission Systems." In Binary Decision Diagrams and Extensions for System Reliability Analysis, 73–83. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119178026.ch5.

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Jain, Kanchan, Isha Dewan, and Monika Rani. "Phased Mission Systems—Modeling and Reliability." In Modeling and Simulation Based Analysis in Reliability Engineering, 141–62. CRC Press, 2018. http://dx.doi.org/10.1201/b22494-5.

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Wu, X., and Q. Liu. "Reliability analysis of phased-mission systems with phase mission backup." In Advances in Safety, Reliability and Risk Management, 2058–63. CRC Press, 2011. http://dx.doi.org/10.1201/b11433-290.

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"An Efficient Approach for the Reliability Analysis of Phased-Mission Systems with Dependent Failures (PSAM-0206)." In Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM), 19–26. ASME Press, 2006. http://dx.doi.org/10.1115/1.802442.paper3.

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"Mission Reliability Evaluation for a Space Propulsion System Phased-Mission Benchmark Problem (PSAM-0425)." In Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM), 1587–94. ASME Press, 2006. http://dx.doi.org/10.1115/1.802442.paper196.

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BOUISSOU, MARC, YVES DUTUIT, and SIDOINE MAILLARD. "RELIABILITY ANALYSIS OF A DYNAMIC PHASED MISSION SYSTEM: COMPARISON OF TWO APPROACHES." In Series on Quality, Reliability and Engineering Statistics, 87–104. WORLD SCIENTIFIC, 2005. http://dx.doi.org/10.1142/9789812703378_0007.

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"Space Propulsion System Phased-Mission Probability Analysis Using Conventional PRA Methods (PSAM-0252)." In Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM), 1384–90. ASME Press, 2006. http://dx.doi.org/10.1115/1.802442.paper172.

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Conference papers on the topic "Phased-Mission Systems"

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Yu, Jian, Tao Hu, Jian-jun Yang, and Liu-ping Zhao. "Redundancy optimization of standby phased-mission systems." In 2010 International Conference on Intelligent Computing and Integrated Systems (ICISS). IEEE, 2010. http://dx.doi.org/10.1109/iciss.2010.5656110.

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Mokhtarpour, Behrokh, and Jerrell T. Stracener. "Mission reliability analysis of phased-mission systems-of-systems with data sharing capability." In 2015 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2015. http://dx.doi.org/10.1109/rams.2015.7105101.

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Shrestha, Akhilesh, Liudong Xing, and Yuanshun Dai. "Reliability analysis of multi-state phased-mission systems." In 2009 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2009. http://dx.doi.org/10.1109/rams.2009.4914667.

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Murphy, K. E., C. M. Carter, and A. W. Malerich. "Reliability analysis of phased-mission systems: a correct approach." In 2007 Annual Reliability and Maintainability Symposium. IEEE, 2007. http://dx.doi.org/10.1109/rams.2007.328042.

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Dong Liu, Chunyuan Zhang, Weiyan Xing, and Rui Li. "Reliability analysis of phased-mission systems using Bayesian networks." In 2008 Annual Reliability and Maintainability Symposium. IEEE, 2008. http://dx.doi.org/10.1109/rams.2008.4925763.

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Chaonan Wang, Liudong Xing, and Gregory Levitin. "Reliability of phased-mission systems subject to competing failures." In 2013 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2013. http://dx.doi.org/10.1109/rams.2013.6517701.

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Mohammad, R., A. Kalam, and S. V. Amari. "Reliability of phased mission systems with warm standby subsystems." In 2013 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2013. http://dx.doi.org/10.1109/rams.2013.6517753.

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Lu, J. M. "Reliability analysis for phased-mission systems with duplicated phases." In International Conference on Quality, Reliability, Risk, Maintenance and Safety Engineering, edited by X. Y. Wu. Southampton, UK: WIT Press, 2015. http://dx.doi.org/10.2495/qr2mse140261.

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Zhiwei, Chen, Sun Yufeng, Zhao Tingdi, and Shao Fangfang. "Reliability analysis of phased-mission complex systems for warship." In 2016 Prognostics and System Health Management Conference (PHM-Chengdu). IEEE, 2016. http://dx.doi.org/10.1109/phm.2016.7819906.

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Batteux, Michel, Tatiana Prosvirnova, Antoine Rauzy, and Liu Yang. "Reliability Assessment of Phased-Mission Systems with AltaRica 3.0." In 2018 3rd International Conference on System Reliability and Safety (ICSRS). IEEE, 2018. http://dx.doi.org/10.1109/icsrs.2018.8688851.

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