Relevant bibliographies by topics / Imperfect Fault Coverage, Irrelevance Coverage Model, Reliability

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Imperfect Fault Coverage, Irrelevance Coverage Model, Reliability'

Author: Grafiati
Published: 10 March 2023
Last updated: 19 July 2025

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Journal articles on the topic "Imperfect Fault Coverage, Irrelevance Coverage Model, Reliability"

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Sun, Dongxu, Wei Niu, and Zhiqiang Zhu. "Modeling and Simulation of Imperfect Fault Coverage of Airborne Computing Platform." Journal of Physics: Conference Series 2456, no. 1 (2023): 012016. http://dx.doi.org/10.1088/1742-6596/2456/1/012016.

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Abstract Ignoring the problem of imperfect fault coverage of fault-tolerant systems will lead to reliability evaluation errors. In order to accurately assess the reliability of the fault-tolerant design of airborne computing platform, the fault-coverage process and failure factors were analyzed, and a discrete event simulation model for the problem of imperfect fault coverage is constructed. In the discrete event simulation model, the fault, detection, isolation and recovery behaviours event are generated by random sampling according to specific distribution, and each discrete event is used to
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Shekhar, Chandra, Amit Kumar, Shreekant Varshney, and Sherif I. Ammar. "Fault-tolerant redundant repairable system with different failures and delays." Engineering Computations 37, no. 3 (2019): 1043–71. http://dx.doi.org/10.1108/ec-01-2019-0003.

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Purpose The internet of things and just-in-time are the embryonic model of innovation for the state-of-the-art design of the service system. This paper aims to develop a fault-tolerant machining system with active and standby redundancy. The availability of the fault-tolerant redundant repairable system is a key concern in the successful deployment of the service system. Design/methodology/approach In this paper, the authors cogitate a fault-tolerant redundant repairable system of finite working units along with warm standby unit provisioning. Working unit and standby unit are susceptible to r
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Shekhar, Chandra, Amit Gupta, Madhu Jain, and Neeraj Kumar. "Transient analysis of computing system with reboot and recovery delay." International Journal of Quality & Reliability Management 37, no. 6/7 (2020): 983–1005. http://dx.doi.org/10.1108/ijqrm-09-2019-0306.

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PurposeThe purpose of this paper is to present a sensitivity analysis of fault-tolerant redundant repairable computing systems with imperfect coverage, reboot and recovery process.Design/methodology/approachIn this investigation, the authors consider the computing system having a finite number of identical working units functioning simultaneously with the provision of standby units. Working and standby units are prone to random failure in nature and are administered by unreliable software, which is also likely to unpredictable failure. The redundant repairable computing system is modeled as a
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Zhou, Siwei, Luyao Ye, Shengwu Xiong, and Jianwen Xiang. "Reliability analysis of dynamic fault trees with Priority-AND gates based on irrelevance coverage model." Reliability Engineering & System Safety, April 2022, 108553. http://dx.doi.org/10.1016/j.ress.2022.108553.

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Sharma, Gaurav, and Dr Atar Singh. "Matrix-Geometric Analysis of a Reboot-Based Multi-Component Machining System with Imperfect Coverage." International Journal of Technological Advancements and Industrial Applications, 2025. https://doi.org/10.52458/28374061.v3.iss1.ijtaia.a8.2025.

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This study presents a reliability and availability analysis of a multi-component machining system subject to service interruptions, imperfect coverage, and a reboot mechanism. The system comprises multiple identical components, each susceptible to random failures. A single repair server addresses these failures under a first-come-first-served policy. Upon a failure, there is a probability that the fault is detected and covered; otherwise, an uncovered failure leads to service interruption and triggers a system reboot. The model employs a Continuous-Time Markov Chain (CTMC) framework, utilizing
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"A Coverage-Based Software Reliability Growth Model for Imperfect Fault Detection and Repeated Construct Execution." KIPS Transactions:PartD 11D, no. 6 (2004): 1287–94. http://dx.doi.org/10.3745/kipstd.2004.11d.6.1287.

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Kumar, Amit, and Chandra Shekhar. "Bayesian Modeling of Repairable Systems With Imperfect Coverage and Delayed Detection Dynamics." Quality and Reliability Engineering International, February 12, 2025. https://doi.org/10.1002/qre.3742.

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ABSTRACTIn this research article, we thoroughly examine the dynamics of a repairable system, emphasizing a two‐unit configuration through a Bayesian perspective. The study integrates diverse prior distributions to model the uncertainty of unknown parameters, incorporating the coverage factor as a probabilistic measure of successful recovery from operational unit failures. The temporal characteristics of unit failure and repair are modeled using exponential distributions, ensuring analytical tractability and robustness. The repair process is bifurcated into two distinct phases: fault detection
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Shekhar, Chandra, Mahendra Devanda, and Suman Kaswan. "Reliability analysis of standby provision multi‐unit machining systems with varied failures, degradations, imperfections, and delays." Quality and Reliability Engineering International, August 6, 2023. http://dx.doi.org/10.1002/qre.3421.

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AbstractThis prospective study focuses on analyzing the reliability characteristics of multi‐unit systems with standby provisioning, accounting for failures, degradation, random delays, and probabilistic imperfections. The investigation sheds light on how these unreliable attributes hinder the performance and availability of machining systems. Given the frequent occurrence of these negative attributes within machining systems, their impact on production flow, performance, and resource utilization is significant. Moreover, these unfavorable attributes hinder the adoption of advanced technologie
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Dissertations / Theses on the topic "Imperfect Fault Coverage, Irrelevance Coverage Model, Reliability"

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Ye, Luyao. "Analysis of the Components and Systems Relevance." Doctoral thesis, 2021. http://hdl.handle.net/2158/1251754.

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In systems with Imperfect Fault Coverage (IFC), all components are subject to uncovered failures, possibly threatening the whole system. Therefore, to improve the system reliability, it is important to timely detect, identify, and shut down the components that are no more relevant for the system operation. Thus, the Irrelevance Coverage Model (ICM) was proposed based on the Imperfect Fault Coverage Model (IFCM). In the ICM, any component detected as irrelevant can be safely shut down without reducing the system reliability and preventing the case where its eventual failure may remain uncover
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Book chapters on the topic "Imperfect Fault Coverage, Irrelevance Coverage Model, Reliability"

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GUPTA, DEVENDRA KUMAR, and Dr RAJIV PHILLIP. "ENHANCING RELIABILITY IN MACHINE REPAIR SYSTEMS: A COMPREHENSIVE ANALYSIS OF IMPERFECT FAULT COVERAGE, HUMAN ERROR AND UNRELIABLE SERVERS." In Recent Advances in Applied Science & Technology towards Sustainable Environment. NOBLE SCIENCE PRESS, 2024. https://doi.org/10.52458/9788197112492.nsp.2024.eb.ch-27.

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This research tackles the problem of complicated machine repair systems by proposing a probabilistic model that takes into account incomplete fault coverage and unreliable servers. With imperfect fault coverage, which is represented by probability c, there is a chance that a fault will go unnoticed or unfixed while the system is being repaired. Incorporating a server that isn't reliable increases system uncertainty since the server's reliability affects how well the repair procedure works overall. Using a system of differential equations, the mathematical model captures the transitions between operational, degraded, and failed states with precision. Another aspect that might cause states to transition is when humans make mistakes while fixing things. Examining the effects of server reliability and imperfect fault coverage on system availability, performance, and reliability over time is the primary goal of the study. We may learn more about the machine repair system's dynamic behaviour under various conditions from the simulation findings. In order to determine how well the system handles variations in server reliability and the possibility of incomplete fault coverage, sensitivity assessments are run. If system designers and maintenance professionals want to optimise strategies for making machine repair operations more reliable and available, the results are significant information. Practical applications of machine repair systems involve uncertainties relating to fault coverage and server dependability; this research adds to our understanding of these factors. Integrating probabilistic components into the study allows for a more accurate portrayal of actual machine repair situations, which in turn allows for better decisions about system design and maintenance planning.
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Conference papers on the topic "Imperfect Fault Coverage, Irrelevance Coverage Model, Reliability"

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Li, Xiaopeng, Hu Wan, Zhean Gong, Zhonglai Wang, and Hong-Zhong Huang. "Flight control system reliability study based on hIdden Markov Model imperfect fault coverage model-Hidden Markov Model." In 2011 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE). IEEE, 2011. http://dx.doi.org/10.1109/icqr2mse.2011.5976582.

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Xiong, Xiao, and Ping Zhang. "Reliability analysis of flight control system for large civil aircraft with Imperfect Fault Coverage Model." In 2012 Prognostics and System Health Management Conference (PHM). IEEE, 2012. http://dx.doi.org/10.1109/phm.2012.6228935.

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