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Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334), 2000
A fault-tolerant estimator is obtained from fusing the concept of fault detection with estimation. Two possible architectures are evaluated. At the center of the fault-tolerant estimation procedure is a bank of filters computing local state estimates, a residual screening scheme to isolate corrupted estimates and a method of blending untainted ones ...
L.H. Mutuel, J.L. Speyer
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A fault-tolerant estimator is obtained from fusing the concept of fault detection with estimation. Two possible architectures are evaluated. At the center of the fault-tolerant estimation procedure is a bank of filters computing local state estimates, a residual screening scheme to isolate corrupted estimates and a method of blending untainted ones ...
L.H. Mutuel, J.L. Speyer
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IFAC Proceedings Volumes, 2000
Abstract In this paper, whenever a single fault occurs at a time, we present conditions under which we can construct residual generators that enable us (1) to detect the fault either exactly or almostly (in either H2 or H∞ norm sense), and (2) to estimate the extent of fault (i.e. the fault signal) as best as possible, i.e. the estimation error is as
Niemann, H.H. +3 more
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Abstract In this paper, whenever a single fault occurs at a time, we present conditions under which we can construct residual generators that enable us (1) to detect the fault either exactly or almostly (in either H2 or H∞ norm sense), and (2) to estimate the extent of fault (i.e. the fault signal) as best as possible, i.e. the estimation error is as
Niemann, H.H. +3 more
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Estimators for Fault Tolerance Coverage Evaluation
IEEE Transactions on Computers, 1995Summary: This paper addresses the problem of estimating the \textit{coverage} of a fault tolerance mechanism through statistical processing of observations collected in \textit{fault injection} experiments. A formal definition of coverage is given in terms of the fault and system activity sets that characterize the input space.
Powell, David +3 more
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Estimating Fault Detection Effectiveness
2014 IEEE Seventh International Conference on Software Testing, Verification and Validation Workshops, 2014A t-way covering array can detect t-way faults, however they generally include other combinations beyond t-way as well. For example, a particular test set of all 5-way combinations is shown capable of detecting all seeded faults in a test program, despite the fact that it contains up to 9-way faults.
Rick Kuhn, Raghu Kacker, Yu Lei
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Optimal fault signal estimation
International Journal of Robust and Nonlinear Control, 2002AbstractWe consider here both fault identification and fault signal estimation. Regarding fault identification, we seek either exact or almost fault identification. On the other hand, regarding fault signal estimation, we seek either ℋ︁2 optimal, ℋ︁2 suboptimal or ℋ︁∞ suboptimal estimation.
Stoorvogel, Antonie Arij +3 more
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Fault Estimation for Nonlinear Dynamic Systems
Circuits, Systems, and Signal Processing, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qiu, Jiqing +4 more
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Fault estimation for complex networks with multiple faults
2017 Chinese Automation Congress (CAC), 2017This paper studies the multiple fault estimation problem for a class of complex networks. A new distributed intermediate estimator is proposed, which has improved the nominal distributed intermediate estimator in the sense that less conservative sufficient conditions are derived.
Jun-Wei Zhu +3 more
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Fault signal filtering for improving fault section estimation
2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077), 2002Fault diagnostic processes obtain data from circuit-breaker relay status and SCADA messages. To speed up fault diagnosis processes, a scheme of fault signal filtering (FSF) is proposed for the rapid estimation of fault regions, prior to further pinpointing of the fault. By considering circuit-breaker relay status, boundary regions are formed by joining
C.S. Chang, S.G. Kerk
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