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Fault Detection and Isolation

2001
Fault detection and isolation are important elements of fault tolerant control systems as discussed in Chapter 8. This chapter outlines the current state of the art of fault detection and isolation (FDI) for the purpose of designing fault-tolerant control systems. Signal-based as well as quantitative and qualitative model-based approaches are explained,
Chen, J.   +4 more
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Portable Software Fault Isolation

2014 IEEE 27th Computer Security Foundations Symposium, 2014
We present a new technique for architecture portable software fault isolation (SFI), together with a prototype implementation in the Coq proof assistant. Unlike traditional SFI, which relies on analysis of assembly-level programs, we analyze and rewrite programs in a compiler intermediate language, the Cminor language of the Comp Cert C compiler.
Joshua A. Kroll   +2 more
openaire   +1 more source

Fault isolation in grey systems

International Test Conference 1988 Proceeding@m_New Frontiers in Testing, 2003
The concepts of grey, white, and black systems are formally introduced and developed into logic testing area, i.e. the area of error detection and fault isolation, to find a direction to establish more efficient test schemes for testing digital systems at a reasonable cost.
Stephen Y. H. Su, Hede Ma
openaire   +1 more source

Isolability of faults in sensor fault diagnosis

Mechanical Systems and Signal Processing, 2011
Abstract A major concern with fault detection and isolation (FDI) methods is their robustness with respect to noise and modeling uncertainties. With this in mind, several approaches have been proposed to minimize the vulnerability of FDI methods to these uncertainties.
Reza Sharifi, Reza Langari
openaire   +1 more source

On fault detectability and isolability

1999 European Control Conference (ECC), 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Fault isolability conditions for linear systems with additive faults

2006 American Control Conference, 2006
In this paper, we shall show that an unlimited number of additive single faults can be isolated under mild conditions if a general isolation scheme is applied. Multiple faults are also covered. The approach is algebraic and is based on a set representation of faults, where all faults within a set can occur simultaneously, whereas faults belonging to ...
Jakob Stoustrup, Henrik Niemann
openaire   +1 more source

Fault Detection and Isolation of Actuator Faults in Overactuated Systems

2007 American Control Conference, 2007
This paper investigates development of fault detection and isolation (FDI) filters for overactuated systems. Due to input channels coupling effects and dependencies in overactuated systems, the necessary condition for applying geometric FDI approaches is not satisfied. In this work a geometric FDI approach for linear systems is extended to overactuated
Nader Meskin, Khashayar Khorasani
openaire   +1 more source

Dynamic fault dictionaries and two-stage fault isolation

IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 1998
This paper presents dynamic two stage fault isolation for sequential random logic VLSI circuits, and introduces limited and dynamic fault dictionaries. In the first stage of the dynamic process, a limited fault dictionary identifies candidate faults, which are further distinguished in the second stage by a dictionary generated dynamically for the ...
Paul G. Ryan, W. Kent Fuchs
openaire   +1 more source

Overview of Fault Isolation

2023
Abstract This chapter briefly lays out the challenges associated with electrical fault isolation (EFI) brought on by continued transistor scaling and increasing package complexity. It also identifies high-priority issues and areas of technology that must be addressed for EFI tools and techniques to remain effective.
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Model extraction for fault isolation

2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2005
This paper presents a simulation-based approach for fault isolation in complex dynamic systems. A machine learning technique is used to extract, from simulated data, models representing regularities in system behavior. A heuristic based on the degree of coverage of the model on the data is then applied to isolate faults. To test tolerance to incomplete
openaire   +1 more source

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