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Results 1 - 10
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840
Schemes for Fault Identification in Communication Networks
- IEEE/ACM Transactions on Networking
, 1995
"... As networks evolve, become larger and more complex, the need for advanced Fault Management capabilities becomes more critical. Failures in a telecommunication network are unavoidable. Quick detection and recovery make the network more robust and increase the confidence in the services it provides. U ..."
Abstract
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Cited by 111 (2 self)
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As networks evolve, become larger and more complex, the need for advanced Fault Management capabilities becomes more critical. Failures in a telecommunication network are unavoidable. Quick detection and recovery make the network more robust and increase the confidence in the services it provides
Design and evaluation of hybrid fault-detection systems
- In Proceedings of the 32th Annual International Symposium on Computer Architecture
, 2005
"... As chip densities and clock rates increase, processors are becoming more susceptible to transient faults that can affect program correctness. Up to now, system designers have primarily considered hardware-only and softwareonly fault-detection mechanisms to identify and mitigate the deleterious effec ..."
Abstract
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Cited by 52 (6 self)
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As chip densities and clock rates increase, processors are becoming more susceptible to transient faults that can affect program correctness. Up to now, system designers have primarily considered hardware-only and softwareonly fault-detection mechanisms to identify and mitigate the deleterious
Fault Detection and Identification for Robot Manipulators ∗
"... Abstract: Several factors must be considered for robotic task execution in the presence of a fault, including: detection, identification, and accommodation for the fault. In this paper, a prediction error based dead-zone residual function and a nonlinear observer are used to detect and identify a cl ..."
Abstract
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Cited by 5 (1 self)
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class of actuator faults. Advantages of the proposed fault detection and identification methods are that they are based on the nonlinear dynamic model of a robot manipulator (and hence, can be extended to a number of general Euler Lagrange systems), they do not require acceleration measurements
Sensor fault detection and identification in a mobile robot
- IN PROCEEDINGS OF THE 1998 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS
, 1998
"... Multiple model adaptive estimation (MMAE) is used to detect and identify sensor failures in a mobile robot. Each estimator is a Kalman lter with a specific embedded failure model. The filter bank also contains one filter which has the nominal model embedded within it. The filter residuals are postpr ..."
Abstract
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Cited by 23 (3 self)
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frequency, is relaxed. Measurements are assumed to be asynchronous and of varying frequency. The particularly difficult case of 'soft' sensor failure is also handled successfully. A system architecture is presented for the general problem of failure detection and identification in mobile robots
Fault Detection In Nonlinear Systems
"... This communication deals with the problem of fault detection and localization for a wide class of nonlinear systems subjected to bounded nonlinearities. A dedicated nonlinear observer scheme (DNOS) for fault detection and identification of observable systems is proposed. I. INTRODUCTION State obser ..."
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This communication deals with the problem of fault detection and localization for a wide class of nonlinear systems subjected to bounded nonlinearities. A dedicated nonlinear observer scheme (DNOS) for fault detection and identification of observable systems is proposed. I. INTRODUCTION State
Fault Detection and Identification for Bimodal Piecewise Affine Systems
- in Proc. of the American Controls Conf. (ACC2009),St
"... Abstract — This paper presents for the first time a fault detection and identification technique for bimodal piecewise affine (PWA) systems. A Luenberger-based observer structure is applied to the state estimation problem of the PWA system. The unknown value of the fault parameter is estimated by an ..."
Abstract
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Cited by 1 (0 self)
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Abstract — This paper presents for the first time a fault detection and identification technique for bimodal piecewise affine (PWA) systems. A Luenberger-based observer structure is applied to the state estimation problem of the PWA system. The unknown value of the fault parameter is estimated
FAULT DETECTION AND IDENTIFICATION IN A DEEP TROUGH
, 2008
"... An early fault detection and identification system (FDI) can be an important part in any plant production system. A FDI can be used to avoid costly repairs and long disruptions in production. A hydroponic plant production system is a complex biological system that contains plants and microorganisms ..."
Abstract
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An early fault detection and identification system (FDI) can be an important part in any plant production system. A FDI can be used to avoid costly repairs and long disruptions in production. A hydroponic plant production system is a complex biological system that contains plants and microorganisms
A Software Fault Tree Approach to Requirements Analysis of an Intrusion Detection System
- Requirements Engineering Journal
, 2002
"... The use of software fault trees for requirements identification and analysis in an Intrusion Detection System (IDS) is described. Intrusions are divided into seven stages, following Ruiu, and a fault subtree is developed to model each stage (e.g., reconnaissance, penetration, etc.). The software fau ..."
Abstract
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Cited by 43 (8 self)
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The use of software fault trees for requirements identification and analysis in an Intrusion Detection System (IDS) is described. Intrusions are divided into seven stages, following Ruiu, and a fault subtree is developed to model each stage (e.g., reconnaissance, penetration, etc.). The software
Identification for Passive Robust Fault Detection using Zonotopes
"... In this paper, the problem of identification for passive robust fault detection when parametric modeling uncertainty is considered. In particular, a zonotope is used to bound the model parametric uncertainty. Two identification methods are introduced following, respectively, the worst-case and set ..."
Abstract
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Cited by 6 (4 self)
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-case and set-membership approaches. Then, the underlying hypothesis are discussed and performance is compared. These two identification approaches lead to two robust fault detection tests (namely, the direct and inverse tests) that are also discussed. A case study based on a four tanks system is used
Non-Parametric Fault Identification for Space Rovers
- IN INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND ROBOTICS IN SPACE (ISAIRAS
, 2001
"... Autonomous fault detection is prerequisite for autonomous system repair which is of great value for spacecraft where human intervention is expensive, slow, unreliable, and occasionally impossible. We present a method which successfully achieves autonomous fault detection in simulation. The approach ..."
Abstract
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Cited by 26 (3 self)
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Autonomous fault detection is prerequisite for autonomous system repair which is of great value for spacecraft where human intervention is expensive, slow, unreliable, and occasionally impossible. We present a method which successfully achieves autonomous fault detection in simulation
Results 1 - 10
of
840
