Relevant bibliographies by topics / System failures (Engineering) – Analysis

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

Academic literature on the topic 'System failures (Engineering) – Analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 18 February 2022

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Journal articles on the topic "System failures (Engineering) – Analysis"

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Li, J.-P., and G. Thompson. "Mechanical failure analysis in a virtual reality environment." Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 219, no. 3 (August 1, 2005): 237–50. http://dx.doi.org/10.1243/095440805x28258.

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This paper is part of a research theme to develop methods that enhance risk assessment studies by the use of ‘automated’ failure analysis. The paper presents an approach to mechanical failure analysis and introduces a mechanical failure analysis module that can be used in a virtual reality (VR) environment. The module is used to analyse and predict failures in mechanical assemblies; it considers stress related failures within components, as well as failures due to component interactions. Mechanical failures are divided into two categories in this paper: material failures and interference failures. The former occur in components and the latter happen at the interface between components. Individual component failures can be analysed readily; a contribution of the mechanical failure analysis module is to predict interference failures. A mechanical failure analysis system that analyses and visualizes mechanical failures in a virtual environment has been developed. Two case studies demonstrate how the system carries out failure analysis and visualization as design parameters are changed.
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Zhang, Wen Guang, and Guo Min Lin. "Analysis of Aircraft Hydraulic System Failures." Advanced Materials Research 989-994 (July 2014): 2947–50. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.2947.

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The hydraulic system of Aircraft is an important power organization and plays an important role in the process of airplane operation. The failures of the airplane have the character of concealment, complexity and uncertainty. So if the hydraulic system ran out of order it not only cause huge casualties and economic losses, but also has a long and low efficiency maintenance cycle. This text analyzes the common causes of the failures and the failures that newly appeared of the aircraft hydraulic systems in detailed. Some of effective solutions have been proposed which quicken accelerate the speed of fault diagnosis and improve the efficiency of aircraft maintenance.
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Vizentin, Goran, Goran Vukelic, Lech Murawski, Naman Recho, and Josip Orovic. "Marine Propulsion System Failures—A Review." Journal of Marine Science and Engineering 8, no. 9 (August 27, 2020): 662. http://dx.doi.org/10.3390/jmse8090662.

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Failures of marine propulsion components or systems can lead to serious consequences for a vessel, cargo and the people onboard a ship. These consequences can be financial losses, delay in delivery time or a threat to safety of the people onboard. This is why it is necessary to learn about marine propulsion failures in order to prevent worst-case scenarios. This paper aims to provide a review of experimental, analytical and numerical methods used in the failure analysis of ship propulsion systems. In order to achieve that, the main causes and failure mechanisms are described and summarized. Commonly used experimental, numerical and analytical tools for failure analysis are given. Most indicative case studies of ship failures describe where the origin of failure lies in the ship propulsion failures (i.e., shaft lines, crankshaft, bearings, foundations). In order to learn from such failures, a holistic engineering approach is inevitable. This paper tries to give suggestions to improve existing design procedures with a goal of producing more reliable propulsion systems and taking care of operational conditions.
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Zhao, Lin, Krishnaiyan Thulasiraman, Xiaocheng Ge, and Ru Niu. "Failure Propagation Modeling and Analysis via System Interfaces." Mathematical Problems in Engineering 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/8593612.

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Safety-critical systems must be shown to be acceptably safe to deploy and use in their operational environment. One of the key concerns of developing safety-critical systems is to understand how the system behaves in the presence of failures, regardless of whether that failure is triggered by the external environment or caused by internal errors. Safety assessment at the early stages of system development involves analysis of potential failures and their consequences. Increasingly, for complex systems, model-based safety assessment is becoming more widely used. In this paper we propose an approach for safety analysis based on system interface models. By extending interaction models on the system interface level with failure modes as well as relevant portions of the physical system to be controlled, automated support could be provided for much of the failure analysis. We focus on fault modeling and on how to compute minimal cut sets. Particularly, we explore state space reconstruction strategy and bounded searching technique to reduce the number of states that need to be analyzed, which remarkably improves the efficiency of cut sets searching algorithm.
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TODINOV, M. T. "RELIABILITY ANALYSIS OF COMPLEX SYSTEMS BASED ON THE LOSSES FROM FAILURES." International Journal of Reliability, Quality and Safety Engineering 13, no. 02 (April 2006): 127–48. http://dx.doi.org/10.1142/s0218539306002161.

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The conventional reliability analysis is based on the premise that increasing the reliability of a system will decrease the losses from failures. In this paper it is demonstrated that increasing the reliability of the system does not always mean decreasing the losses from failures. An inappropriate increase of the reliability of the system may lead to a simultaneous increase of the losses from failure. In other words, a system reliability improvement, which is disconnected from the losses from failure does not necessarily reduce the losses from failures. An efficient discrete-event simulation model and algorithm have been proposed for reliability analysis based on the losses from failure for production systems with complex topology. The model links reliability with losses from failures. A new algorithm has also been developed for system reliability analysis related to productions systems based on multiple production units where the absence of critical failure means that at least m out n production units are working. The parametric study conducted on the basis of the developed models revealed that a dual-control production system is characterized by enhanced production availability, which increases with increasing the number of production units in the system. A production unit from a dual-control production system including multiple production units is characterized by a larger availability compared to a production unit from a dual-control production system including a single production unit. The proposed approach has been demonstrated by comparing the losses from failures and the net present values of two competing design topologies: one based on a single-channel control and the other based on a dual-channel control. The proposed models have been successfully applied and tested for reliability value analysis of productions systems in deepwater oil and gas production. It is also argued that the reliability allocation in a production system should be done to maximize the net profit/value obtained from the system. Consequently, a method for setting reliability requirements and reliability allocation maximizing the net profit by minimizing the sum of the capital costs and the expected losses from failures has been proposed. Reliability allocation which maximizes the net profit in case of a system consisting of blocks arranged in series is achieved by determining for each block individually, the reliabilities of the components which minimize the sum of the capital costs and the expected losses from failures.
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Li, Yifan, Hong-Zhong Huang, and Tingyu Zhang. "Reliability Analysis of C4ISR Systems Based on Goal-Oriented Methodology." Applied Sciences 11, no. 14 (July 8, 2021): 6335. http://dx.doi.org/10.3390/app11146335.

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Hard-and-software integrated systems such as command and control systems (C4ISR systems) are typical systems that are comprised of both software and hardware, the failures of such devices result from complicated common cause failures and common (or shared) signals that make classical reliability analysis methods will be not applicable. To this end, this paper applies the Goal-Oriented (GO) methodology to detailed analyze the reliability of a C4ISR system. The reliability as well as the failure probability of the C4ISR system, are reached based on the GO model constructed. At the component level, the reliability of units of the C4ISR system is computed. Importance analysis of failures of such a system is completed by the qualitative analysis capability of the GO model, by which critical failures of hardware failures like communication module failures and motherboard module failures as well as software failures like network module application software failures and decompression module software failures are ascertained. This method of this paper contributes to the reliability analysis of all hard-and-software integrated systems.
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Zuo, Lin, Tangfan Xiahou, and Yu Liu. "Evidential network-based failure analysis for systems suffering common cause failure and model parameter uncertainty." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233, no. 6 (June 27, 2018): 2225–35. http://dx.doi.org/10.1177/0954406218781407.

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The fault tree analysis has been extensively implemented in failure analysis of engineered systems. In most cases, the probabilities of basic events, e.g. components’ failures, are represented by crisp values in the fault tree analyses. However, due to lack of knowledge, scarcity of failure data, or vague judgments from experts, it may produce parameter uncertainty associated with degradation models of components/systems, and such model parameter uncertainty can be quantified by the epistemic uncertainty. In addition, the common cause failure, related to the simultaneous failures of two or more components caused by physical interactions or shared environments, often exists in advanced engineered systems and computing systems. In this paper, by considering both the common cause failure and the epistemic uncertainty associated with model parameters, an evidential network model embedded with common cause failure is proposed to facilitate system failure analysis. The detailed transformations from some logic gates of a fault tree to an evidential network model are given. Moreover, the conditional belief mass tables are constructed to quantify the dependency between the states of components and the entire system. An engineering case of an aero-engine oil system, together with comparative results, is presented to demonstrate the effectiveness of the proposed evidential network model.
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Cristaldi, Loredana, Mohamed Khalil, and Payam Soulatintork. "A root cause analysis and a risk evaluation of PV balance of system failures." ACTA IMEKO 6, no. 4 (December 28, 2017): 113. http://dx.doi.org/10.21014/acta_imeko.v6i4.425.

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<p>The Photovoltaic (PV) system is divided mainly into two subsystems; PV modules and a Balance of System (BoS) subsystems. This work shows two approaches for a reliability analysis on the subsystem level of aBoS: Failure mode effects criticality analysis (FMECA) and a Markov Process. FMECA concerns the root causes of failures and introduces prioritization numbers to highlight critical components of a BoS. Meanwhile, a Markov process is a reliability methodology that aims to predict the probability of success and failure of a BoS. In this way, a Markov process is a supportive tool for helping decision-makers to judge the criticality of failures associated with the operation of PV systems. Results show that the PV inverter contributes significantly to the failures of a BoS. Accordingly, further investigations are conducted on a PV inverter to prioritize the maintenance activities by determining the risk priority number of its component failures through quantitative CA. The novelty of the proposed methodologies stems from analyzing the roots of failure causes of BoS components and estimating the probability of failure of these components in order to improve the early development of a BoS, enhance maintenance management, and satisfy the demanding reliability by electric utilities.</p>
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Li, Jing Hua, and Wen Tao Yu. "Analysis and Design of Automatic Transmission’ Hydraulic System Based on Logic Analysis." Advanced Materials Research 945-949 (June 2014): 1611–14. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.1611.

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Volkswagen AG4 Automatic transmission ,for example , was detailed analyzed by logical method from the shifting operation, interlocking of combining elements and failure protection. Shifting operation must first meet the shifting demand ,mangy oil line criss-cross in the automatic transmission hydraulic system circuit ,in a particular gear ,some components must to be meet bonding requirements interlock between them ,finally ,vehicle need a failure system to protect the oil line to prevent failures in order to travel to the failure of the automatic transmission electronic control system .By analyzing ,design principles and ideas of automatic transmission shift controlling hydraulic system were derived.
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Elbadawi, I., M. A. Ashmawy, W. A. Yusmawiza, I. A. Chaudhry, N. B. Ali, and A. Ahmad. "Application of Failure Mode Effect and Criticality Analysis (FMECA) to a Computer Integrated Manufacturing (CIM) Conveyor Belt." Engineering, Technology & Applied Science Research 8, no. 3 (June 19, 2018): 3023–27. http://dx.doi.org/10.48084/etasr.2043.

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Fault finding and failure predicting techniques in manufacturing and production systems often involve forecasting failures, their effects, and occurrences. The majority of these techniques predict failures that may appear during the regular system production time. However, they do not estimate the failure modes and they require extensive source code instrumentation. In this study, we suggest an approach for predicting failure occurrences and modes during system production time intervals at the University of Hail (UoH). The aim of this project is to implement failure mode effect and criticality analysis (FMECA) on computer integrated manufacturing (CIM) conveyors to determine the effect of various failures on the CIM conveyor belt by ranking and prioritizing each failure according to its risk priority number (RPN). We incorporated the results of FMECA in the development of formal specifications of fail-safe CIM conveyor belt systems. The results show that the highest RPN values are for motor over current failure (450), conveyor chase of vibration (400), belt run off at the head pulley (200), accumulated dirt (180), and Bowed belt (150). The study concludes that performing FMECA is highly effective in improving CIM conveyor belt reliability and safety in the mechanical engineering workshop at UoH.
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Dissertations / Theses on the topic "System failures (Engineering) – Analysis"

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Moyer, Gordon Stanley 1961. "AN EXPERT SYSTEM FOR FAILURE MODE INVESTIGATION IN RELIABILITY ENGINEERING." Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/277237.

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Schneider, Kevin Paul. "Analysis of critical infrastructure interactions /." Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/5990.

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Hou, Wei. "Integrated reliability and availability analysis of networks with software failures and hardware failures." [Tampa, Fla.] : University of South Florida, 2003. http://purl.fcla.edu/fcla/etd/SFE0000173.

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KJERENGTROEN, LIDVIN. "RELIABILITY ANALYSIS OF SERIES STRUCTURAL SYSTEMS (PROBABILITY, DESIGN, FATIGUE)." Diss., The University of Arizona, 1985. http://hdl.handle.net/10150/187909.

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Reliability analysis of series structural systems with emphasis on problems typical for metal fatigue is addressed. Specific goals include the following: (1) Given the distribution of strength of the components and the distribution of external loads on the system what is the probability of failure of the system? (2) Given the target safety index for the system, what would be the target safety index for the components? Exact solutions in the analysis of series structural systems only exists for some special problems. Some of these special problems are investigated. In particular some special cases of the problem of unequal element reliabilities are considered and some interesting observations are made. Numerical integration is in general required even when an exact solution exists. A correction or adjustment factor is developed for an important class of problems. This factor makes it possible to relate element and system probabilities of failure without numerical integration. However in most cases no exact solution to the structural series system problem exists. Approximations by for instance bounds on the probability of failure or Monte Carlo simulation has been the only way of approximating solutions. These two methods are generally not good approximation schemes since they are either too crude or too expensive. In this dissertation an approximation scheme for analysis of series systems where no exact solution exists is developed. The method only requires a simple numerical integration if the component safety index and the correlation coefficient between failure modes is known. Numerous examples are used to verify the method against known exact results and excellent estimates are obtained. Applications by practical examples is also given. In the appendix the problem of convergence of fatigue life distribution is also summarized.
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Anude, Okezie. "The analysis of redundant reliability systems with common-cause failures." Thesis, University of Ottawa (Canada), 1994. http://hdl.handle.net/10393/6847.

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The reliability and income analyses of newly developed $k-out-of-(n + m):G$ (or $n, m, k$) type redundant systems subject to a combination of common-cause failures and independent failures are presented. The global goal was to evaluate the impacts of the standby activation policy and the system repair times on such relevant system performance indices as the reliability, long-run availability, mean time to failure, variance of time to failure and net income. To facilitate this investigation several possible repair policies are developed. Results obtained using typical and practical values of basic system variables indicate that the governing standby activation policy as well as the system repair time distribution affect profoundly the values of the afore-mentioned system performance indices. In addition, newly developed mathematical relationships that would enable the net incomes of $k-out-of-(n + m):G$ type systems to be maximized by the adoption of certain system repair rates are presented.
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Li, Zhijian. "Stochastic analysis of robot-safety systems with common-cause failures." Thesis, University of Ottawa (Canada), 2003. http://hdl.handle.net/10393/26512.

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This study presents reliability and availability analyses of four different types of robot-safety systems with common-cause failures. The system failure rates and the partially failed system repair rates are assumed constant, and the failed system repair time is assumed arbitrarily distributed. Markov and the supplementary variable methods were used to perform mathematical analysis of these models. Generalized expressions for state probabilities, system availabilities, reliability, mean time to failure, and variance of time to failure are developed. The models developed in this study can be applied to their corresponding robot-safety systems to predict robot-safety system reliability and availability, and to prepare appropriate maintenance scheduling policies.
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O'Connor, Andrew N. "A general cause based methodology for analysis of dependent failures in system risk and reliability assessments." Thesis, University of Maryland, College Park, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3587283.

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Traditional parametric Common Cause Failure (CCF) models quantify the soft dependencies between component failures through the use of empirical ratio relationships. Furthermore CCF modeling has been essentially restricted to identical components in redundant formations. While this has been advantageous in allowing the prediction of system reliability with little or no data, it has been prohibitive in other applications such as modeling the characteristics of a system design or including the characteristics of failure when assessing the risk significance of a failure or degraded performance event (known as an event assessment).

This dissertation extends the traditional definition of CCF to model soft dependencies between like and non-like components. It does this through the explicit modeling of soft dependencies between systems (coupling factors) such as sharing a maintenance team or sharing a manufacturer. By modeling the soft dependencies explicitly these relationships can be individually quantified based on the specific design of the system and allows for more accurate event assessment given knowledge of the failure cause.

Since the most data informed model in use is the Alpha Factor Model (AFM), it has been used as the baseline for the proposed solutions. This dissertation analyzes the US Nuclear Regulatory Commission's Common Cause Failure Database event data to determine the suitability of the data and failure taxonomy for use in the proposed cause-based models. Recognizing that CCF events are characterized by full or partial presence of "root cause" and "coupling factor" a refined failure taxonomy is proposed which provides a direct link between the failure cause category and the coupling factors.

This dissertation proposes two CCF models (a) Partial Alpha Factor Model (PAFM) that accounts for the relevant coupling factors based on system design and provide event assessment with knowledge of the failure cause, and (b)General Dependency Model (GDM),which uses Bayesian Network to model the soft dependencies between components. This is done through the introduction of three parameters for each failure cause that relate to component fragility, failure cause rate, and failure cause propagation probability.

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Chayanam, Kavitha. "Analysis of Telecommunications Outages Due to Power Loss." Ohio University / OhioLINK, 2005. http://www.ohiolink.edu/etd/view.cgi?ohiou1125024491.

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Adachi, Takao. "Impact of cascading failures on performance assessment of civil infrastructure systems." Diss., Available online, Georgia Institute of Technology, 2007, 2007. http://etd.gatech.edu/theses/available/etd-03052007-095214/.

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Thesis (Ph. D.)--Civil and Environmental Engineering, Georgia Institute of Technology, 2007.
Bruce R. Ellingwood, Committee Chair ; Abdul-Hamid Zureick, Committee Member ; James I. Craig, Committee Member ; Reginald DesRoches, Committee Member ; Kenneth M. Will, Committee Member.
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Games, A. M. "Some aspects of common cause failure analysis in engineering systems." Thesis, University of Liverpool, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.383417.

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Books on the topic "System failures (Engineering) – Analysis"

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Tawancy, Hani M. Practical engineering failure analysis. New York: Marcel Dekker, 2005.

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Systems failure analysis. Materials Park, Ohio: ASM International, 2009.

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Failure analysis in engineering applications. Oxford: Butterworth-Heinemann, 1992.

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2012, Du Ju active, ed. Zhuang bei shi xiao fen xi ji shu: Equipment failure analysis technology. Beijing Shi: Guo fang gong ye chu ban she, 2012.

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Root cause failure analysis. Boston: Newnes, 1999.

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Requirements engineering. London: Springer, 1996.

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), Reliability Analysis Center (U S. Failure reporting, analysis and corrective action system (FRACAS) application guidelines. Rome, N.Y: Reliability Analysis Center, 1999.

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Practical plant failure analysis: A guide to understanding machinery deterioration and improving equipment reliability. Boca Raton: CRC/Taylor & Francis, 2007.

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1944-, Wise John A., Debons A, and North Atlantic Treaty Organization. Scientific Affairs Division., eds. Information systems: Failure analysis. Berlin: Springer Verlag, 1987.

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Wise, John A. Information Systems: Failure Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987.

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Book chapters on the topic "System failures (Engineering) – Analysis"

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Li, Guang-Feng, Xin-Yu Wang, Jing-Yuan Yang, and Hong-Wei Sha. "Analysis of Communication Failures in Radiation Monitoring System of a Nuclear Power Plant." In Lecture Notes in Electrical Engineering, 255–64. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3113-8_30.

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Maximova, Maria, Sven Schneider, and Holger Giese. "Compositional Analysis of Probabilistic Timed Graph Transformation Systems." In Fundamental Approaches to Software Engineering, 196–217. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71500-7_10.

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AbstractThe analysis of behavioral models is of high importance for cyber-physical systems, as the systems often encompass complex behavior based on e.g. concurrent components with mutual exclusion or probabilistic failures on demand. The rule-based formalism of probabilistic timed graph transformation systems is a suitable choice when the models representing states of the system can be understood as graphs and timed and probabilistic behavior is important. However, model checking PTGTSs is limited to systems with rather small state spaces.We present an approach for the analysis of large-scale systems modeled as probabilistic timed graph transformation systems by systematically decomposing their state spaces into manageable fragments. To obtain qualitative and quantitative analysis results for a large-scale system, we verify that results obtained for its fragments serve as overapproximations for the corresponding results of the large-scale system. Hence, our approach allows for the detection of violations of qualitative and quantitative safety properties for the large-scale system under analysis. We consider a running example in which we model shuttles driving on tracks of a large-scale topology and for which we verify that shuttles never collide and are unlikely to execute emergency brakes. In our evaluation, we apply an implementation of our approach to the running example.
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Xia, Jun, Li sha Pan, Xiao qing Cheng, Yong Qin, and Zong yi Xing. "Failure Mode Criticality Analysis of Metro Door System." In Lecture Notes in Electrical Engineering, 251–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-53751-6_25.

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Jia, Xujie, Xueying Song, and Gang Li. "Reliability Analysis of Multi-State Systems with Dependent Failures Based on Copula." In Stochastic Models in Reliability Engineering, 101–12. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, 2020.: CRC Press, 2020. http://dx.doi.org/10.1201/9780429331527-7.

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Birolini, Alessandro. "Reliability Analysis During the Design Phase (Nonrepairable Elements up to System Failure)." In Reliability Engineering, 25–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39535-2_2.

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Birolini*, Alessandro. "Reliability Analysis During the Design Phase (Nonrepairable Elements up to System Failure)." In Reliability Engineering, 25–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14952-8_2.

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Liang, Yansong, Xianhui Yang, and Jun Wang. "Availability Analysis of a Redundant System with Common-Cause Failure." In Lecture Notes in Electrical Engineering, 1903–11. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-4981-2_208.

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Deng, Guanqian, Guiyou Hao, Yingjie Lv, and Ying Zhou. "Intermittent Failure Combing Analysis and Prevention of a Certain Type of Missile Weaponry." In Man-Machine-Environment System Engineering, 657–62. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2481-9_76.

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Wu, J., L. Zhang, W. Liang, and J. Hu. "Failure Mode Analysis Based on MFM-HAZOP Model of Gathering System." In Lecture Notes in Mechanical Engineering, 579–91. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4993-4_51.

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Zhou, Xiao-Bo, Jin Fan, Ru-Mei Shi, Ya-Dong Zhang, and Qiao-Rui Du. "The Method of Failure Analysis for Safety-Critical System Software Based on Formalization." In Lecture Notes in Electrical Engineering, 28–36. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3113-8_4.

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Conference papers on the topic "System failures (Engineering) – Analysis"

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Xu, Gang, and Xiaochen Liu. "Multiple Failures Analysis for Complex Electric Power System." In 2012 Spring Congress on Engineering and Technology (S-CET). IEEE, 2012. http://dx.doi.org/10.1109/scet.2012.6342097.

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Yang, Shenquan, Xiaochen Liu, Changhui Ma, and Guanglei Li. "Distribution Circuit Multiple Failures Analysis for Asymmetric System." In 2012 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2012. http://dx.doi.org/10.1109/appeec.2012.6307409.

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Shimoda, A. "Causal analysis of system failures from IT project trouble reports." In 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2015. http://dx.doi.org/10.1109/ieem.2015.7385858.

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Zhao, Jun, Xing Zhou, Jin Hu, and Yanling Yu. "The Failure Analysis and Processing of Digital Reactor Protection System." In 2013 21st International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/icone21-15423.

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The Qinshan Nuclear Power Plant phase 1 unit (QNPP-1) has a power rating of 320 MWe generated by a pressurized water reactor that was designed and constructed by China National Nuclear Corporation (CNNC). The TELEPERM XS I&C system (TXS) is to be implemented to transform analog reactor protection system (RPS) in QNPP-1. The paper mainly describes the function, structure and characteristic of RPS in QNPP-1. It focuses on the outstanding features of digital I&C, such as strong online self-test capability, the degradation of the voting logic processing, interface improvements and CPU security. There are some typical failures during the operation of reactor protection system in QNPP-1. The way to analyze and process the failures is different from analog I&C. The paper summarizes typical failures of the digital RPS in the following types: CPU failure, communication failure, power failure, Input and output (IO) failure. It discusses the cause, risk and mainly processing points of typical failure, especially CPU and communication failures of the digital RPS. It is helpful for the maintenance of the system. The paper covers measures to improve the reliability of related components which has been put forward effective in Digital reactor protection system in QNPP-1. It will be valuable in nuclear community to improve the reliability of important components of nuclear power plants.
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Cheng, Yao, and Xiaoping Du. "System Reliability Analysis With Dependent Component Failures During Early Design Stage." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-50269.

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It is desirable to predict product reliability accurately in the early design stage, but the lack of information usually leads to the use of independent component failure assumption. This assumption makes the system reliability prediction much easier, but may produce large errors since component failures are usually dependent after the components are put into use within a mechanical system. The bound of the system reliability can be estimated, but is usually wide. This wide reliability bound makes it difficult to make decisions, such as evaluating and selecting design concepts, during the early design stage. This work develops a new methodology that makes the system reliability prediction more accurate by considering the dependence between component failures. The following situation is addressed: the reliability of each component and the distribution of its load are known, but the dependence between component failures is unknown. With a physics-based approach, an optimization model is established so that a narrow bound of the system reliability can be generated. Two examples demonstrate that the proposed methodology produces a narrower system reliability bound than the traditional reliability bound, thereby better assisting decision making during the early design stage.
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Jensen, David C., Christopher Hoyle, and Irem Y. Tumer. "Clustering Function-Based Failure Analysis Results to Evaluate and Reduce System-Level Risks." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70180.

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For complex, safety-critical systems failures due to component faults and system interactions can be catastrophic. One aspect of ensuring a safe system design is the analysis of the impact and risk of potential faults early in the system design process. This early design-stage analysis can be accomplished through function-based reasoning on a qualitative behavior simulation of the system. Reasoning on the functional effect of failures provides designers with the information needed to understand the potential impact of faults. This paper proposes three different methods for evaluating and grouping the results of a function failure analysis and their use in design decision-making. Specifically, a method of clustering failure analysis results based on consequence is presented to identify groups of critical failures. A method of clustering using Latent Class Analysis provides characterization of high-level, emergent system failure behavior. Finally, a method of identifying functional similarity provides lists of similar and identical functional effects to a system state of interest. These three methods are applied to the function-based failure analysis results of 677 single and multiple fault scenarios in an electrical power system. The risk-based clustering found three distinct levels of scenario functional impact. The Latent Class Analysis identified five separate failure modes of the system. Finally, the similarity grouping identified different groups of scenarios with identical and similar functional impact to specific scenarios of interest. The overall goal of this work is to provide a framework for making design decisions that decrease system risks.
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Zhou, Hang, Yuanjian Yang, Hong-Zhong Huang, Yu Liu, and Weiwen Peng. "Reliability analysis of a satellite system considering common cause failures." In 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE). IEEE, 2012. http://dx.doi.org/10.1109/icqr2mse.2012.6246186.

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Sallak, M., S. Destercke, W. Schon, F. Vanderhaegen, D. Berdjag, and C. Simon. "Uncertainty, elicitation of experts' opinion, and human failures: Challenges for RAM analysis of ERTMS SoS." In 2015 10th System of Systems Engineering Conference (SoSE). IEEE, 2015. http://dx.doi.org/10.1109/sysose.2015.7151917.

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Smith, Curtis. "Counting Failure Events for a Support System." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-85727.

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An initiating event is a departure from a desired operational envelope to a system state where a control response is required either by human or machine intervention. In the case of a support system such as a cooling water or electrical distribution system, failure of this system represents the departure from normal operating conditions. Initiating event frequencies for probabilistic risk assessments are generally based on data collection. For rare, but potentially high consequence initiators representing the failure of support systems, this approach has a number of shortcomings. For example, since events are rare, there may not be any complete system failure events in the available data sets. Consequently, there is a desire to model system failures of initiating events since component-level failure events in the support systems are more frequent. Therefore, what is needed is a suitable method for calculating the initiating event frequency (expected number of system failures over some operating mission) from the relatively well known component failure rates. In this paper, we explore ways to develop and quantify models that represent the rates of failures for support systems. These failures of repairable systems can be represented by focusing on observables. Specifically, we can either count the number of failures in time t or count the times of failure. As part of the analysis, we will describe and evaluate a couple of typical redundant support systems. Included in the analysis will be considerations of dependent failure mechanisms.
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Eubanks, Charles F., Steven Kmenta, and Kosuke Ishii. "System Behavior Modeling As a Basis for Advanced Failure Modes and Effects Analysis." In ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/96-detc/cie-1340.

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Abstract This paper presents a method for developing a device behavior model to enhance reliability at the early stages of conceptual design. The model facilitates a semi-automated advanced failure modes and effects analysis (FMEA). The model performs analyses and simulations of device behavior, reasons about conditions that depart from desired behaviors, and analyzes the results of those departures. The proposed method rigorously specifies pre- and post-conditions, yet is flexible in the syntax of device operation. The paper shows how the method can capture failures normally missed by existing FMEA methods. An automatic ice maker serves as an example application.
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Reports on the topic "System failures (Engineering) – Analysis"

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Michnoff R. and H. Turbush. Analysis of FY 2005 System Operational Failures. Office of Scientific and Technical Information (OSTI), June 2006. http://dx.doi.org/10.2172/1061833.

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Smith, G. L. SP-100 ground engineering system requirements and analysis. Office of Scientific and Technical Information (OSTI), May 1990. http://dx.doi.org/10.2172/10130200.

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Van Slyke, D. A. System Engineering Analysis For Improved Scout Business Information Systems. Office of Scientific and Technical Information (OSTI), January 2017. http://dx.doi.org/10.2172/1343825.

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Goodell, Christopher R., and Gary W. Brunner. Watershed Analysis with the Hydrologic Engineering Center's River Analysis System (HEC-RAS). Fort Belvoir, VA: Defense Technical Information Center, September 2004. http://dx.doi.org/10.21236/ada434884.

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GARDNER, DAVID R., and GARY L. HENNIGAN. On Developing a Multifidelity Modeling Algorithm for System-Level Engineering Analysis. Office of Scientific and Technical Information (OSTI), February 2003. http://dx.doi.org/10.2172/820880.

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Burns, Dominic, and John Hopkinson. Leapfrog Technology to Standardize Equipment and System Installations. Section 7. Engineering Analysis and Develop Standards. Fort Belvoir, VA: Defense Technical Information Center, September 1999. http://dx.doi.org/10.21236/ada455832.

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Ernst, K. Bounding dispersion analysis for rare-earth elements as it pertains to the Engineering Demonstration System surrogate testing. Office of Scientific and Technical Information (OSTI), October 1989. http://dx.doi.org/10.2172/5347694.

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Thornton, Matthew J., and Lin J. Simpson. System Design, Analysis, and Modeling Activities Supporting the DOE Hydrogen Storage Engineering Center of Excellence (HSECoE): Final Project Report. Office of Scientific and Technical Information (OSTI), April 2019. http://dx.doi.org/10.2172/1507683.

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Zhang, Zhonglong, and Billy Johnson. Hydrologic Engineering Center-River Analysis System (HEC-RAS) water temperature models developed for the Missouri River recovery management plan and environmental impact statement. Environmental Laboratory (U.S.), September 2017. http://dx.doi.org/10.21079/11681/23707.

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Patel, Reena, David Thompson, Guillermo Riveros, Wayne Hodo, John Peters, and Felipe Acosta. Dimensional analysis of structural response in complex biological structures. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41082.

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The solution to many engineering problems is obtained through the combination of analytical, computational and experimental methods. In many cases, cost or size constraints limit testing of full-scale articles. Similitude allows observations made in the laboratory to be used to extrapolate the behavior to full-scale system by establishing relationships between the results obtained in a scaled experiment and those anticipated for the full-scale prototype. This paper describes the application of the Buckingham Pi theorem to develop a set of non-dimensional parameters that are appropriate for describing the problem of a distributed load applied to the rostrum of the paddlefish. This problem is of interest because previous research has demonstrated that the rostrum is a very efficient structural system. The ultimate goal is to estimate the response of a complex, bio-inspired structure based on the rostrum to blast load. The derived similitude laws are verified through a series of numerical experiments having a maximum error of 3.39%.
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