Academic literature on the topic 'Fault isolation and isolability'

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Journal articles on the topic "Fault isolation and isolability"

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Laursen, Morten, Mogens Blanke, and Dilek Düştegör. "Fault Diagnosis Of A Water For Injection System Using Enhanced Structural Isolation." International Journal of Applied Mathematics and Computer Science 18, no. 4 (2008): 593–604. http://dx.doi.org/10.2478/v10006-008-0052-5.

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Fault Diagnosis Of A Water For Injection System Using Enhanced Structural IsolationA water for injection system supplies chilled sterile water as a solvent for pharmaceutical products. There are ultimate requirements for the quality of the sterile water, and the consequence of a fault in temperature or in flow control within the process may cause a loss of one or more batches of the production. Early diagnosis of faults is hence of considerable interest for this process. This study investigates the properties of multiple matchings with respect to isolability, and it suggests to explore the top
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Farina, Marcello, and Andrea Caspani. "Model-based fault isolability and isolation of persistent faults: Centralized and distributed implementations." Systems & Control Letters 156 (October 2021): 105006. http://dx.doi.org/10.1016/j.sysconle.2021.105006.

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Hafaifa, Ahmed, Ferhat Laaouad, and Kouider Laroussi. "Fuzzy modeling and control for detection and isolation of surge in industrial centrifugal compressors." Journal of Automatic Control 19, no. 1 (2009): 19–26. http://dx.doi.org/10.2298/jac0901019h.

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This paper provides the possible application of the fuzzy approaches in fault detection and isolation area for a class of complex industrial processes with uncertain interval parameters. The main idea of fuzzy fault detection and isolation is to build a model of a diagnosis procedures, using rules-based Fuzzy Expert System, capable to minimize false alarms enhance detectability and isolability and minimize detection time by hardware implementation to improve reliability, safety and global efficiency. This paper illustrates an alternative implementation to the compression systems supervision ta
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Khorasgani, Hamed, Ahmed Farahat, and Chetan Gupta. "Data-driven Residual Generation for Early Fault Detection with Limited Data." Annual Conference of the PHM Society 12, no. 1 (2020): 9. http://dx.doi.org/10.36001/phmconf.2020.v12i1.1162.

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 Traditionally, fault detection and isolation community have used system dynamic equations to generate diagnosers and to analyze detectability and isolability of the dynamic systems. Model-based fault detection and isolation methods use system model to generate a set of residuals as the bases for fault detection and isolation. However, in many complex systems it is not feasible to develop highly accurate models for the systems and to keep the models updated during the system lifetime. Recently, data- driven solutions have received an immense attention in the industrial appl
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Kóscielny, Jan Maciej, Michał Syfert, Kornel Rostek, and Anna Sztyber. "Fault isolability with different forms of the faults–symptoms relation." International Journal of Applied Mathematics and Computer Science 26, no. 4 (2016): 815–26. http://dx.doi.org/10.1515/amcs-2016-0058.

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Abstract The definitions and conditions for fault isolability of single faults for various forms of the diagnostic relation are reviewed. Fault isolability and unisolability on the basis of a binary diagnostic matrix are analyzed. Definitions for conditional and unconditional isolability and unisolability on the basis of a fault information system (FIS), symptom sequences and directional residuals are formulated. General definitions for conditional and unconditional isolability and unisolability in the cases of simultaneous evaluation of diagnostic signal values and a sequence of symptoms are
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Basseville, Michéle. "On Fault Detectability and Isolability." European Journal of Control 7, no. 6 (2001): 625–37. http://dx.doi.org/10.3166/ejc.7.625-637.

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Sharifi, Reza, and Reza Langari. "Isolability of faults in sensor fault diagnosis." Mechanical Systems and Signal Processing 25, no. 7 (2011): 2733–44. http://dx.doi.org/10.1016/j.ymssp.2011.02.015.

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Jung, Daniel, Erik Frisk, and Mattias Krysander. "Quantitative isolability analysis of different fault modes." IFAC-PapersOnLine 48, no. 21 (2015): 1275–82. http://dx.doi.org/10.1016/j.ifacol.2015.09.701.

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Shumsky, A., and M. Staroswiecki. "Fault Detectability and Isolability for Nonlinear Uncertain Systems." IFAC Proceedings Volumes 36, no. 5 (2003): 603–8. http://dx.doi.org/10.1016/s1474-6670(17)36558-8.

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Chi, Guoyi, and Danwei Wang. "Sensor Placement for Fault Isolability Based on Bond Graphs." IEEE Transactions on Automatic Control 60, no. 11 (2015): 3041–46. http://dx.doi.org/10.1109/tac.2015.2409952.

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Dissertations / Theses on the topic "Fault isolation and isolability"

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Mnassri, Baligh. "Analyse de données multivariées et surveillance des processus industriels par analyse en composantes principales." Phd thesis, Aix-Marseille Université, 2012. http://tel.archives-ouvertes.fr/tel-00749282.

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Ce mémoire de thèse présente une étude fondamentale enrichie par des contributions qui sont articulées autour de la modélisation de processus ainsi qu'un diagnostic de défauts en utilisant l'analyse en composantes principales (ACP). <br /> Dans l'objectif d'un choix optimal du modèle ACP, une étude comparative de quelques critères connus dans la littérature nous a permis de conclure que le problème rencontré est souvent lié à une ignorance des variables indépendantes et quasi-indépendantes. Dans ce cadre, nous avons réalisé deux démonstrations mettant en évidence les limitations de deux critèr
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Thurén, Mårten. "Fault Isolation By Manifold Learning." Thesis, Linköping University, Vehicular Systems, 1985. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-57547.

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<p>This thesis investigates the possibility of improving black box fault diagnosis by a process called manifold learning, which simply stated is a way of finding patterns in recorded sensor data. The idea is that there is more information in the data than is exploited when using simple classification algorithms such as k-Nearest Neighbor and Support Vector Machines, and that this additional information can be found by using manifold learning methods. To test the idea of using manifold learning, data from two different fault diagnosis scenarios is used: A Scania truck engine and an electrical s
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Biteus, Jonas. "Fault Isolation in Distributed Embedded Systems." Doctoral thesis, Linköping : Vehicular Systems, Department of Electrical Engineering, Linköpings universitet, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8774.

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McFall, Charles W. "Integrated fault detection and isolation and fault-tolerant control of nonlinear process systems." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1692812611&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Wang, Lihui. "Rough set based gas turbine fault isolation study." Thesis, Cranfield University, 2010. http://dspace.lib.cranfield.ac.uk/handle/1826/5616.

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Gas path fault isolation is one of the key techniques in Engine Health Management systems. In order to accomplish gas path fault isolation successfully for a gas turbine engine, both an accurate off-design performance model and an effective fault isolation approach are necessary. In this thesis, two original and useful contributions to knowledge are presented: a new gas turbine off-design performance model adaptation approach and a new gas turbine fault isolation approach. This new adaptation approach uses optimal multiple scaling factors obtained by using a Genetic Algorithm to scale inaccura
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Sune, Dan. "Isolation of Multiple-faults with Generalized Fault-modes." Thesis, Linköping University, Department of Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1480.

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<p>Most AI approaches for fault isolation handle only the behavioral modes OK and NOT OK. To be able to isolate faults in components with generalized behavioral modes, a new framework is needed. By introducing domain logic and assigning the behavior of a component to a behavioral mode domain, efficient representation and calculation of diagnostic information is made possible. </p><p>Diagnosing components with generalized behavioral modes also requires extending familiar characterizations. The characterizations candidate, generalized kernel candidate and generalized minimal candidate are introd
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Wan, Abdul Aziz Wan Mohd Yusof Rahiman. "Fault detection and isolation : application to pipeline systems." Thesis, University of Manchester, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.498676.

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In this thesis, the development on Fault Detection and Isolation (FDI) and its application on the nonlinear pipeline based on an observer design techniques are presented. The main focus is to perform the analysis on pipeline systems characteristics and then, systematic approaches are designed for leak diagnosis system based on transient response. In order to monitor the transient response,three different types of observer designs are introduced in this work together with different aspects of leakage are discussed. Each of the presented observer design methods significantly reduce the required
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Stoeckle, Matthew Robert. "Fault detection, isolation, and recovery for autonomous parafoils." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90612.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2014.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 121-124).<br>Autonomous precision airdrop systems are widely used to deliver supplies to remote locations. This aerial delivery method provides a safety and logistical advantage over traditional ground- or helicopter-based payload transportat
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Zhang, Ze. "Fault detection and isolation for linear dynamic systems." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/9086.

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As modern control systems and engineering processes become increasingly more complex and integrated, the consequences of system failures and faults can be disastrous environmentally and economically. This thesis considers the fault detection and isolation (FDI) problem for linear time-invariant (LTI) systems subject to faults, disturbances and model uncertainties. Firstly, a novel on-line approach to the robust FDI problem for linear discrete-time systems is proposed by using input/output measurement analysis over a finite estimation horizon. Upper and lower bounds on the fault signal are comp
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Ding, Xuejun. "Fault detection and isolation for railway vehicle suspensions." Thesis, University of Leeds, 2009. http://etheses.whiterose.ac.uk/11297/.

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The ability to detect and isolate component faults in a railway suspension system is important for improved train safety and maintenance. An undetected failure in the suspension systems can cause severe wheel-rail wear, reduce ride comfort, worsen passenger safety and increase unexpected maintenance costs. Existing fault detection methods are limited in several respects, such as effectiveness/sensitivity for fault detection, or robustness to external condition changes. This thesis investigates a model-less fault detection and isolation approach using cross correlation and/or relative variance
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Books on the topic "Fault isolation and isolability"

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Meskin, Nader, and Khashayar Khorasani. Fault Detection and Isolation. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-8393-0.

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Biteus, Jonas. Fault isolation in distributed embedded systems. Linko pings Universitet. Department of Computer and Information Science, 2007.

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Meskin, Nader. Fault Detection and Isolation: Multi-Vehicle Unmanned Systems. Springer Science+Business Media, LLC, 2011.

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Mayhew, Ellen R. Fault detection and isolation for reconfigurable flight control systems. American Institute of Aeronautics and Astronautics, 1988.

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Anton, Stoorvogel, and Sannuti Peddapullaiah 1941-, eds. Filtering theory: With applications to fault detection, isolation, and estimation. Birkhäuser, 2007.

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Lehrasab, Nadeem. A generic fault detection and isolation approach for single-throw mechanical equipment. University of Birmingham, 1999.

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Neural network-based state estimation of nonlinear systems: Application to fault detection and isolation. Springer, 2010.

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Durkin, John. Fault isolation detection expert (FIDEX).: Expert system diagnostics for a 30/20 gigahertz satellite transponder : a final report summarizing research on contract NAG3-923 ... National Aeronautics and Space Administration, 1992.

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Blokdyk, Gerardus. Fault Isolation a Complete Guide - 2020 Edition. Emereo Pty Limited, 2020.

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Fault Detection, Isolation and Recovery [Working Title]. IntechOpen, 2019. http://dx.doi.org/10.5772/intechopen.83277.

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Book chapters on the topic "Fault isolation and isolability"

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Bartyś, Michał. "Single Fault Isolability Metrics of the Binary Isolating Structures." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23180-8_5.

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Ding, Steven X. "Fault Detectability, Isolability and Identifiability." In Model-Based Fault Diagnosis Techniques. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4799-2_4.

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Ding, Steven X. "Fault Isolation Schemes." In Model-Based Fault Diagnosis Techniques. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4799-2_13.

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Chen, J., P. M. Frank, M. Kinnaert, J. Lunze, and R. J. Patton. "Fault Detection and Isolation." In Control of Complex Systems. Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0349-3_9.

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Aubrun, Christophe, Cédric Berbra, Sylviane Gentil, Suzanne Lesecq, and Dominique Sauter. "Fault Detection and Isolation, Fault Tolerant Control." In Co-Design Approaches for Dependable Networked Control Systems. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118557679.ch6.

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Meskin, Nader, and Khashayar Khorasani. "Introduction." In Fault Detection and Isolation. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-8393-0_1.

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Meskin, Nader, and Khashayar Khorasani. "Geometric Approach to the Problem of Fault Detection and Isolation (FDI)." In Fault Detection and Isolation. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-8393-0_2.

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Meskin, Nader, and Khashayar Khorasani. "FDI in a Network of Unmanned Vehicles: Ideal Communication Channels." In Fault Detection and Isolation. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-8393-0_3.

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Meskin, Nader, and Khashayar Khorasani. "A Robust FDI Scheme with a Disturbance Decoupling Property." In Fault Detection and Isolation. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-8393-0_4.

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Meskin, Nader, and Khashayar Khorasani. "Compensating for Communication Channels Effects in the FDI Problem." In Fault Detection and Isolation. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-8393-0_5.

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Conference papers on the topic "Fault isolation and isolability"

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Chen, Qi, Qadeer Ahmed, and Giorgio Rizzoni. "Sensor Placement Analysis for Fault Detectability and Isolability of an Automated Manual Transmission." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6067.

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This paper presents a systematic methodology to identify the sensor placements to maximize the detection and isolation of faults that can affect the performance of Automated Manual Transmissions (AMT). A set of critical faults has been identified using Failure Mode and Effects Analysis (FMEA). A detailed fault modeling has been performed for AMT and the model has been simulated to demonstrate the faults effect on AMT functions. The structurally over-determined part of AMT is determined using the concepts of structural analysis that utilizes AMT structural model. The analysis assists in shortli
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Sharifi, Reza, Reza Langari, and Yeesock Kim. "Sensor Fault Diagnosis in Smart Structures." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2759.

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This paper proposes a novel principal component analysis (PCA)-based sensor fault detection methodology for smart structures employing magnetorheological (MR) dampers. The MR damper is operated by a semiactive nonlinear fuzzy controller (SNFC) that is developed by integration of a set of Lyapunov optimal controllers, Kalman filters, and a semiactive converter with the fuzzy interpolation method. A numeric residual generator is found using the PCA analysis of ten measurements obtained from the structure-MR damper system for sensor fault detection. Using the matrix of this residual generator, th
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Hand, Michael J., and Anna Stefanopoulou. "Location Isolability of Intake and Exhaust Manifold Leaks in a Turbocharged Diesel Engine With Exhaust Gas Recirculation." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6175.

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An investigation into the isolability of the location of intake and exhaust manifold leaks in heavy duty diesel engines is presented. In particular, established fault detection and isolation (FDI) methods are explored to assess their utility in successfully determining the location of a leak within the air path of an engine equipped with exhaust gas recirculation and an asymmetric twin-scroll turbine. It is further shown how consideration of the system’s variation across multiple operating points can lead to improved ability to isolate the location of leaks in the intake and exhaust manifolds.
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Basseville, Michele. "On fault detectability and isolability." In 1999 European Control Conference (ECC). IEEE, 1999. http://dx.doi.org/10.23919/ecc.1999.7099333.

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Detroja, Ketan P., and Ravindra D. Gudi. "Fault isolability analysis based on steady state fault signatures." In 2012 11th International Conference on Environment and Electrical Engineering (EEEIC). IEEE, 2012. http://dx.doi.org/10.1109/eeeic.2012.6221481.

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Jung, Daniel. "A generalized fault isolability matrix for improved fault diagnosability analysis." In 2016 Conference on Control and Fault-Tolerant Systems (SysTol). IEEE, 2016. http://dx.doi.org/10.1109/systol.2016.7739801.

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Staroswiecki, M., and G. Comtet-Varga. "Fault detectability and isolability in algebraic dynamic systems." In 1999 European Control Conference (ECC). IEEE, 1999. http://dx.doi.org/10.23919/ecc.1999.7099496.

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Lu Jingfang, Loh Ai Poh, and Fong Kin Fui. "Fault Detectability and Isolability Conditions in the Frequency Domain." In Proceedings of the 45th IEEE Conference on Decision and Control. IEEE, 2006. http://dx.doi.org/10.1109/cdc.2006.377736.

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Stoustrup, J., and H. Niemann. "Fault isolability conditions for linear systems with additive faults." In 2006 American Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/acc.2006.1656570.

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Kroll, Joshua A., Gordon Stewart, and Andrew W. Appel. "Portable Software Fault Isolation." In 2014 IEEE 27th Computer Security Foundations Symposium (CSF). IEEE, 2014. http://dx.doi.org/10.1109/csf.2014.10.

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Reports on the topic "Fault isolation and isolability"

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Marino, Paul. Hydraulic Diagnostics and Fault Isolation Test Program. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada189366.

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CALS TEST NETWORK WRIGHT-PATTERSON AFB OH. TMSS Parsing Test, MIL-M-83495A, Appendix D: Fault Isolation. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada300180.

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Villaran, M., K. Hillman, J. Taylor, J. Lara, and W. Wilhelm. Selected fault testing of electronic isolation devices used in nuclear power plant operation. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10152083.

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