Relevant bibliographies by topics / Multi-Fault

Contents

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

Academic literature on the topic 'Multi-Fault'

Author: Grafiati
Published: 1 February 2025

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Journal articles on the topic "Multi-Fault"

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Levitin, Gregory, and Suprasad V. Amari. "Multi-state systems with multi-fault coverage." Reliability Engineering & System Safety 93, no. 11 (2008): 1730–39. http://dx.doi.org/10.1016/j.ress.2007.12.004.

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Zhang, Zhou Suo, Minghui Shen, Wenzhi Lv, and Zheng Jia He. "Multi-Fault Classifier Based on Support Vector Machine and Its Application." Key Engineering Materials 293-294 (September 2005): 483–92. http://dx.doi.org/10.4028/www.scientific.net/kem.293-294.483.

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Aiming at problem on limiting development of machinery fault intelligent diagnosis due to needing many fault data samples, this paper improves a multi-classification algorithm of support vector machine, and a multi-fault classifier based on the algorithm is constructed. Training the multi-fault classifier only needs a small quantity of fault data samples in time domain, and does not need signal preprocessing of extracting signal features. The multi-fault classifier has been applied to fault diagnosis of steam turbine generator, and the results show that it has such simple algorithm, online fau
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Jiménez, Laura, and C. Verde. "Multi-Fault Discrimination with Fault Model and Periodic Residual." IFAC Proceedings Volumes 45, no. 20 (2012): 49–54. http://dx.doi.org/10.3182/20120829-3-mx-2028.00087.

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Yan, Hehua, Jinbiao Tan, Yixiong Luo, Shiyong Wang, and Jiafu Wan. "Multi-Condition Intelligent Fault Diagnosis Based on Tree-Structured Labels and Hierarchical Multi-Granularity Diagnostic Network." Machines 12, no. 12 (2024): 891. https://doi.org/10.3390/machines12120891.

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The aim of this study is to improve the cross-condition domain adaptability of bearing fault diagnosis models and their diagnostic performance under previously unknown conditions. Thus, this paper proposes a multi-condition adaptive bearing fault diagnosis method based on multi-granularity data annotation. A tree-structured labeling scheme is introduced to allow for multi-granularity fault annotation. A hierarchical multi-granularity diagnostic network is designed to automatically learn multi-level fault information from condition data using feature extractors of varying granularity, allowing
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Wen, Weigang, Jingqi Qin, Xiangru Xu, Kaifu Mi, and Meng Zhou. "A Model-Driven Approach to Extract Multi-Source Fault Features of a Screw Pump." Processes 12, no. 11 (2024): 2571. http://dx.doi.org/10.3390/pr12112571.

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Screw pumps’ faulty working conditions affect the stability of oil production. At project sites, different sensors are used simultaneously to collect multi-dimensional signals; the data fault labels and location are not clear, and how to comprehensively use multi-source information in effective fault feature extraction has become an urgent issue. Existing diagnostic methods use a single signal or part of a signal and do not fully utilize the acquired signal, which makes it difficult to achieve the required accuracy of diagnostic results. This paper focuses on the model-driven approach to extra
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Meng, Hongbing. "Soft Fault Detection Algorithms for Multi-Parallel Data Streams Under the Cloud Computing." Journal of Advanced Computational Intelligence and Intelligent Informatics 22, no. 7 (2018): 1114–19. http://dx.doi.org/10.20965/jaciii.2018.p1114.

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In the fault detection of multi-parallel data streams, the error probability of traditional methods is large, which cannot effectively meet the soft fault detection for multi-parallel data stream, causing the problem of low detection efficiency. A soft fault detection algorithm based on adaptive multi-parallel data stream is proposed. The soft fault feature in the data stream is extracted, and the adaptive soft fault detection algorithm is used to detect the fault of the multi-parallel data stream, which can overcome the disadvantages of traditional methods, effectively improve the efficiency,
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Li-jia, LIU, HU Jian-wang, and SUN Hui-xian. "Fault Diagnosis Reasoning Algorithm Based on Multi-signal Model." MATEC Web of Conferences 173 (2018): 03022. http://dx.doi.org/10.1051/matecconf/201817303022.

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The multi-signal model is modeled in the fault space and combines the structural model and the dependent model of the system. The modeling work is easy to implement in different layers and is very suitable for fault modeling and fault diagnosis of the Command and control system. After the model is established, how to meet the requirements of fault coverage and fault isolation rate, fault diagnosis reasoning algorithm is particularly important. The system dependency matrix is obtained by establishing a multi-signal model. Based on this, the fault diagnosis reasoning algorithm is studied. The fa
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Wang, Yang, Rui-Qian Sun, and Lin-Feng Gou. "Two-Stage Hyperelliptic Kalman Filter-Based Hybrid Fault Observer for Aeroengine Actuator under Multi-Source Uncertainty." Aerospace 11, no. 9 (2024): 736. http://dx.doi.org/10.3390/aerospace11090736.

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An aeroengine faces multi-source uncertainty consisting of aeroengine epistemic uncertainty and the control system stochastic uncertainty during operation. This paper investigates actuator fault estimation under multi-source uncertainty to enhance the fault diagnosis capability of aero-engine control systems in complex environments. With the polynomial chaos expansion-based discrete stochastic model quantification, the optimal filter under multi-source uncertainty, the Hyperelliptic Kalman Filter, is proposed. Meanwhile, by treating actuator fault as unknown input, the Two-stage Hyperelliptic
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Yan, Wen, Haiyan Tu, Peng Qin, and Tao Zhao. "Interval Type-II Fuzzy Fault-Tolerant Control for Constrained Uncertain 2-DOF Robotic Multi-Agent Systems with Active Fault Detection." Sensors 23, no. 10 (2023): 4836. http://dx.doi.org/10.3390/s23104836.

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This study proposed a novel adaptive interval Type-II fuzzy fault-tolerant control for constrained uncertain 2-DOF robotic multi-agent systems with an active fault-detection algorithm. This control method can realize the predefined-accuracy stability of multi-agent systems under input saturation constraint, complex actuator failure and high-order uncertainties. Firstly, a novel active fault-detection algorithm based on pulse-wave function was proposed to detect the failure time of multi-agent systems. To the best of our knowledge, this was the first time that an active fault-detection strategy
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Wang, Dazhi, Yi Ning, and Cuiling Zhang. "An Effective Ground Fault Location Scheme Using Unsynchronized Data for Multi-Terminal Lines." Energies 11, no. 11 (2018): 2957. http://dx.doi.org/10.3390/en11112957.

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Traveling-wave-based methods perform poorly for the fault location of multi-terminal lines as a result of the limitation introduced by being a highly branched structure. The requirement for multi-terminal time synchronization is also a drawback and needs to be improved. In this paper, an effective fault location method for use on multi-terminal lines is proposed, and it does not require the data from each terminal to be synchronized. The method is based on the arrival time differences in the ground and aerial mode waves detected at each terminal. First, fault section identification rules for a
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Dissertations / Theses on the topic "Multi-Fault"

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Black, Natanya Maureen. "Fault length, multi-fault rupture, and earthquakes in California." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1581647191&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Navarro, Martin. "Fault roughness and fault complexity field study, multi-scale analysis and numerical fault model /." [S.l.] : [s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=966415809.

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Roman, Felipe de Fraga. "Fault supervision for multi robotics systems." Pontifícia Universidade Católica do Rio Grande do Sul, 2015. http://hdl.handle.net/10923/7732.

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Made available in DSpace on 2015-12-09T01:03:58Z (GMT). No. of bitstreams: 1 000476572-Texto+Completo-0.pdf: 1895232 bytes, checksum: d360d64653c8369496f6a15db1b7c15f (MD5) Previous issue date: 2015<br>As robotics becomes more common and people start to use it in routine tasks, dependability becomes more and more relevant to create trustworthy solutions. A commonly used approach to provide reliability and availability is the use of multi robots instead of a single robot. However, in case of a large teams of robots (tens or more), determining the system status can be a challenge. This work pr
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Covella, Vito Vincenzo. "Multi-node Fault Classification using Machine Learning." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22867/.

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An HPC system, a system with much more computational power than general computing systems, is a complex system made up of different sections and many computing nodes. In such systems failures can arise for different reasons: because of the interactions among the components, because of the specific technologies used or because of bugs in the software. In order to reach Exascale performances and guarantee availability and reliability it is important to detect and recover from these anomalies. In this thesis we propose a fault classification method based on machine learning. Other researchers
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Herdeiro, Teixeira André. "Multi-Agent Systems with Fault and Security Constraints." Thesis, KTH, Reglerteknik, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-106224.

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Over the last few years, a change in one of the classical paradigms in Control Systems has been happening. Partially due to the increase of the computational power, there exists now the possibility of having intelligent sensors and actuators which may take actions in a distributed fashion. This way, there is no longer the need for a centralized controller or data fusion station, which is really well suited for Networked Control Systems. This led the way to the development of distributed control and sensor fusion frameworks and there is still a a great amount of research to be done in this fiel
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Kamiel, Berli Paripurna. "Vibration-based multi-fault diagnosis for centrifugal pumps." Thesis, Curtin University, 2015. http://hdl.handle.net/20.500.11937/1532.

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The thesis proposes a new method for vibration fault diagnosis of centrifugal pumps by combining statistical features, Symlet Wavelet transform, Principal Component Analysis and k-Nearest Neighbors. Six statistical features were extracted from the low frequency part of wavelet decomposition which was then used as input features for the PCA model. The fault detection utilised T2 and Q statistics while fault classification and identification were carried out using score matrices and k-Nearest Neighbors respectively.
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Abdelaal, Ahmed Abdelmalek Abdelhafez. "Active rectifier control for multi-phase fault-tolerant generators." Thesis, University of Manchester, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.489542.

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This research is concerned with the solid-state power conversion system that interfaces a multi-phase, fault-tolerant, permanent magnet generator to a high voltage DC bus. The generator is being developed for future aerospace application, it has five independent phases, a 3:1 speed range and a one per-unit output impedance.
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Ozcerit, Ahmet Turan. "Fault-tolerant embedded multi-processing system with bus switching." Thesis, University of Sussex, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285122.

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Chaitanya, Deshpande. "Multi-Agent Based Fault Localizationand Isolation in Active DistributionNetworks." Thesis, KTH, Industriella informations- och styrsystem, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-169221.

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Liberalized electricity markets, increased awareness of clean energy resources and theirdecreasing costs have resulted in large numbers of distributed power generators beinginstalled on distribution network. Installation of distributed generation has altered thepassive nature of distribution grid. A concept of Active Distribution Network is proposedwhich will enable present day infrastructure to host renewable energy resources reliably.Fault management that includes fault localization, isolation and service restoration ispart of active management of distribution networks.This thesis aims to in
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Miller, Dawn Elizabeth. "Underground cable fault location using multi-element gas sensing." Thesis, University of Manchester, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.681492.

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Books on the topic "Multi-Fault"

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Potiron, Katia, Amal El Fallah Seghrouchni, and Patrick Taillibert. From Fault Classification to Fault Tolerance for Multi-Agent Systems. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5046-6.

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Potiron, Katia. From Fault Classification to Fault Tolerance for Multi-Agent Systems. Springer London, 2013.

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

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Gupta, Punit, and Pradeep Kumar Gupta. Trust & Fault in Multi Layered Cloud Computing Architecture. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37319-1.

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He, Shuping, and Xiaoli Luan. Multi-model Jumping Systems: Robust Filtering and Fault Detection. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6474-5.

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United States. Army Aviation Research and Technology Activity. and United States. National Aeronautics and Space Administration., eds. Fault detection of helicopter gearboxes using the multi-valued influence matrix method. National Aeronautics and Space Administration, 1993.

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Pakanen, Jouko. Prediction and fault detection of building energy consumption using multi-input, single-output dynamic model. Technical Research Centre of Finland, 1992.

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1935-, Lasker G. E., International Institute for Advanced Studies in Systems Research and Cybernetics., and International Conference on Systems Research, Informatics and Cybernetics (13th : 2001 : Baden-Baden, Germany), eds. Advances in database and expert systems: Data mining and data warehousing techniques, similarity search for reusable database components, performance assessment of learning algorithms, estimation of models for expert systems, complexity evaluation of software processes, multi-agent systems, multi-agent approach to coalition formation, communication between software agents in distributed information systems, expert systems for fault diagnosis, parameter modulated fractals generators, information management in Intranet and Extranet environments. International Institute for Advanced Studies in Systems Research and Cybernetics, 2001.

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Chopin, Kate. Complete novels and stories: At Fault / Bayou Folk / A Night in Acadie / The Awakening / Uncollected Stories. Library of America, 2002.

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Meskin, Nader, and Khashayar Khorasani. Fault Detection and Isolation: Multi-Vehicle Unmanned Systems. Springer, 2011.

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Book chapters on the topic "Multi-Fault"

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Potiron, Katia, Amal El Fallah Seghrouchni, and Patrick Taillibert. "Multi-Agent System Properties." In From Fault Classification to Fault Tolerance for Multi-Agent Systems. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5046-6_2.

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Potiron, Katia, Amal El Fallah Seghrouchni, and Patrick Taillibert. "Fault Classification." In From Fault Classification to Fault Tolerance for Multi-Agent Systems. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5046-6_3.

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Potiron, Katia, Amal El Fallah Seghrouchni, and Patrick Taillibert. "Fault Classification Attributes as an Ontology to Build Fault Tolerant MAS." In From Fault Classification to Fault Tolerance for Multi-Agent Systems. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5046-6_6.

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Potiron, Katia, Amal El Fallah Seghrouchni, and Patrick Taillibert. "Introduction." In From Fault Classification to Fault Tolerance for Multi-Agent Systems. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5046-6_1.

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Potiron, Katia, Amal El Fallah Seghrouchni, and Patrick Taillibert. "Refinement of the Fault Classification for MAS." In From Fault Classification to Fault Tolerance for Multi-Agent Systems. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5046-6_4.

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Potiron, Katia, Amal El Fallah Seghrouchni, and Patrick Taillibert. "Fault Tolerance for MAS Specific Faults." In From Fault Classification to Fault Tolerance for Multi-Agent Systems. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5046-6_5.

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Potiron, Katia, Amal El Fallah Seghrouchni, and Patrick Taillibert. "Conclusion." In From Fault Classification to Fault Tolerance for Multi-Agent Systems. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5046-6_7.

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Campana, Tiziana, and Gregory M. P. O’Hare. "Intellectus: Multi-Hop Fault Detection Methodology." In Smart Sensors, Measurement and Instrumentation. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12898-6_9.

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Zhang, Jiantao, Zhan Gao, Jianyu Lan, Fuze Cheng, Wenbo Zhao, and Chunbo Zhu. "Fault-Tolerant Multi-coil WPT System." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-8816-3_56.

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Zhu, Huafei. "Distributed Multi-user, Multi-key Searchable Encryptions Resilient Fault Tolerance." In Trusted Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31550-8_2.

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Conference papers on the topic "Multi-Fault"

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Zhang, Pu, Huifeng Xue, and Shan Gao. "Fault-tolerant Control for Multi-agent with Actuator Fault." In 2020 39th Chinese Control Conference (CCC). IEEE, 2020. http://dx.doi.org/10.23919/ccc50068.2020.9188757.

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Xu, Sihan, Ya Gao, Xiangrui Cai, Zhiyu Wang, and Hua Ji. "Effective Multi-Fault Localization Based on Fault-Relevant Statistics." In 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2021. http://dx.doi.org/10.1109/compsac51774.2021.00135.

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Jiang, Hao, Xinyu Ren, and Xiaojian Fang. "Aeroengine Multi-Fault Diagnosis Based on Hierarchical Multi-mode Filtering." In GPPS Xi'an21. GPPS, 2022. http://dx.doi.org/10.33737/gpps21-tc-136.

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Carry out model-based online fault diagnosis for aero-engine sensors, actuators and components. Traditional methods use a set of filters to estimate the current state of the engine, and then process the estimated residuals of each filter to obtain the diagnosis result. For single engine faults, this method has a good diagnostic effect, but when double engine faults are considered, the amount of calculation will greatly increase, and the accuracy and real-time performance of fault diagnosis cannot meet the requirements. In this regard, this paper proposes a fault diagnosis algorithm based on hi
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Yongwei, Lv, Tian Muqin, and Wang Xiaoling. "Multi-fault Diagnosis Information Fusion." In 2009 International Conference on New Trends in Information and Service Science (NISS). IEEE, 2009. http://dx.doi.org/10.1109/niss.2009.38.

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Su, Lili, and Nitin H. Vaidya. "Fault-Tolerant Multi-Agent Optimization." In PODC '16: ACM Symposium on Principles of Distributed Computing. ACM, 2016. http://dx.doi.org/10.1145/2933057.2933105.

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Momose, Atsuki, and Ling Ren. "Multi-Threshold Byzantine Fault Tolerance." In CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security. ACM, 2021. http://dx.doi.org/10.1145/3460120.3484554.

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Tsai, Posheng, Kamal Mannar, and Darek Ceglarek. "Fault Localization Analysis for Multiple Fault Diagnosis in Multi-Station Assembly Systems." In ASME 2007 International Manufacturing Science and Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/msec2007-31139.

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Modern large scale multi-station manufacturing systems require effective variation reduction to improve the final assembly dimensional quality. One critical measure is to diagnose the fault in the process using knowledge-based root cause identification, which can be very challenging due to the complexity of the system. The paper investigates the need of data-driven fault localization to enhance the diagnosability within the context of multiple-fault scenario(s) in multi-station assembly processes where multivariate measurements are used. The paper proposes three types of fault-signal transmiss
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Desineni, R., T. J. Vogels, K. N. Dwarakanath, T. Zanon, R. D. Blanton, and W. Maly. "A Multi-Stage Approach to Fault Identification Using Fault Tuples." In ISTFA 2003. ASM International, 2003. http://dx.doi.org/10.31399/asm.cp.istfa2003p0496.

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Abstract We present a generalized method to attack fault diagnosis at the logic level that aims at localizing and differentiating fault types. In particular, we present an application of this method that aids in distinguishing opens and two-line shorts. While past work has addressed distinction between shorts and opens, we present an algorithm to generate more test patterns to narrow down the diagnosis callout based on type or location. In general, we are not limited to a few fault models as our description of the logic misbehavior is built on fault tuples. This becomes important in the area o
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Subbarao, Kamesh, and Arun Vemuri. "Fault Isolation Using Extrinsic Curvature For Multi-Input-Multi-Output Systems With Nonlinear Fault Models." In 2007 American Control Conference. IEEE, 2007. http://dx.doi.org/10.1109/acc.2007.4282918.

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Cao, Yunpeng, Yinghui He, Fang Yu, et al. "A Two-Layer Multi-Model Gas Path Fault Diagnosis Method." In ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/gt2018-75368.

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This paper presents a two-layer multi-model gas path fault diagnosis method for gas turbines that includes a fault detection layer and a fault isolation layer. A health model and a gas path fault model based on a back propagation neural network are used for the real-time estimation of the output parameters of a gas turbine in the fault detection layer and the output parameter residual in the fault isolation layer, respectively. A fault detection algorithm is proposed based on fuzzy inference, and the fuzzy membership function of the output parameters residual is realized using data statistics.
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Reports on the topic "Multi-Fault"

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Parker, L. E. ALLIANCE: An architecture for fault tolerant multi-robot cooperation. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/34318.

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Scheidhauer, M., A. M. Trehu, and K. M. M. Rohr. Multi-channel seismic reflection survey over the northern Queen Charlotte fault. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1999. http://dx.doi.org/10.4095/210903.

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Parr, G. More fault tolerant approach to address resolution for a Multi-LAN system of Ethernets. RFC Editor, 1988. http://dx.doi.org/10.17487/rfc1029.

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Ropp, Michael, and Ujjwol Tamrakar. Impact of synchronous condensers on fault location and black start in multi-inverter isolated microgrids. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2462928.

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Pitarka, Arben. Multi Segment Fault Rupture Modeling and Strong Ground Motion Simulation Using Irikura, Japan Recipe: Implementation in the in SCEC BB Platform. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1544495.

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Wozniakowska, P., D. W. Eaton, C. Deblonde, A. Mort, and O. H. Ardakani. Identification of regional structural corridors in the Montney play using trend surface analysis combined with geophysical imaging. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329795.

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Induced (anthropogenic) earthquakes are caused by reactivation of pre-existing faults due to human activities, including hydraulic fracturing and saltwater disposal. The Montney play, the pre-eminent shale gas play in Canada, contains localized regions with relatively high geological susceptibility to induced seismicity. Identification of potential seismogenic structures is hindered because published fault maps in the Montney play are often focused on small areas, leading to inconsistencies when these are compiled across the region. We have developed a regional framework based on structural co
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Hults, Chad, Jeffrey Coe, and Nikita Avdievitch. Fractures, scarps, faults, and landslides mapped using LiDAR, Glacier Bay National Park and Preserve, Alaska. National Park Service, 2023. http://dx.doi.org/10.36967/2300706.

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This map of fractures, scarps, faults, and landslides was completed to identify areas in Glacier Bay National Park and Preserve that may present a landslide-generated tsunami hazard. To address the potential of landslide and tsunami hazards in the park, the National Park Service (NPS) and the US Geological Survey (USGS) partnered to conduct a multi-year hazard assessment of Glacier Bay National Park and Preserve. To produce the map described in this report, we used the newly acquired (2019-2020) light detection and ranging (LiDAR) 0.5 to 1.0 m digital elevation models (DEMs) that cover all the
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Goeckeritz, Joel, Nathan Schank, Ryan L Wood, Beverly L Roeder, and Alonzo D Cook. Use of Urinary Bladder Matrix Conduits in a Rat Model of Sciatic Nerve Regeneration after Nerve Transection Injury. Science Repository, 2022. http://dx.doi.org/10.31487/j.rgm.2022.03.01.

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Previous research has demonstrated the use of single-channel porcine-derived urinary bladder matrix (UBM) conduits in segmental-loss, peripheral nerve repairs as comparable to criterion-standard nerve autografts. This study aimed to replicate and expand upon this research with additional novel UBM conduits and coupled therapies. Fifty-four Wistar Albino rats were divided into 6 groups, and each underwent a surgical neurectomy to remove a 7-millimeter section of the sciatic nerve. Bridging of this nerve gap and treatment for each group was as follows: i) reverse autograft—the segmented nerve wa
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9

Goeckeritz, Joel, Nathan Schank, Ryan L Wood, Beverly L Roeder, and Alonzo D Cook. Use of Urinary Bladder Matrix Conduits in a Rat Model of Sciatic Nerve Regeneration after Nerve Transection Injury. Science Repository, 2022. http://dx.doi.org/10.31487/j.rgm.2022.03.01.sup.

Full text
Abstract:
Previous research has demonstrated the use of single-channel porcine-derived urinary bladder matrix (UBM) conduits in segmental-loss, peripheral nerve repairs as comparable to criterion-standard nerve autografts. This study aimed to replicate and expand upon this research with additional novel UBM conduits and coupled therapies. Fifty-four Wistar Albino rats were divided into 6 groups, and each underwent a surgical neurectomy to remove a 7-millimeter section of the sciatic nerve. Bridging of this nerve gap and treatment for each group was as follows: i) reverse autograft—the segmented nerve wa
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10

Seginer, Ido, Louis D. Albright, and Robert W. Langhans. On-line Fault Detection and Diagnosis for Greenhouse Environmental Control. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7575271.bard.

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Abstract:
Background Early detection and identification of faulty greenhouse operation is essential, if losses are to be minimized by taking immediate corrective actions. Automatic detection and identification would also free the greenhouse manager to tend to his other business. Original objectives The general objective was to develop a method, or methods, for the detection, identification and accommodation of faults in the greenhouse. More specific objectives were as follows: 1. Develop accurate systems models, which will enable the detection of small deviations from normal behavior (of sensors, contro
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