Reliability analysis of an ultra-reliable fault tolerant control system
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Reliability analysis of an ultra-reliable fault tolerant control system

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Published by The Center in Moffett Field, Calif .
Written in English


  • Fault-tolerant computing

Book details:

Edition Notes

StatementR.E. Curry, W.E. VanderVelde, P.R. Frey ; prepared for Ames Research Center under contract A16966C
SeriesNASA contractor report -- 166594
ContributionsVanderVelde, Wallace E, Frey, P. R, Ames Research Center, Search Technology, Inc
The Physical Object
Pagination1 v.
ID Numbers
Open LibraryOL14927656M

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The reliability analysis of fault-tolerant control systems is performed using Markov models. Reliability properties peculiar to fault-tolerant control systems are emphasized. As a consequence, coverage of failures through redundancy management can be severely limited. Dugan J.B., Lyu M.R. () System-Level Reliability and Sensitivity Analyses for Three Fault-Tolerant System Architectures. In: Cristian F., Le Lann G., Lunt T. Cited by: 9. In this paper, we describe a framework to e ciently assess the reliability of fault tolerant control systems on low-cost unmanned aerial vehicles. The analysis is developed for a system consisting of a xed number of actuators. In addition, the system includes a scheme to detect failures in individual actuators and, as a. 1. INTRODUCTION New control techniques and design approaches have been developed to treat system component faults and to improve system reliability and availability, which are collectively called Fault Tolerant Control Systems (FTCS's).Cited by: 1.

The estimated system reliability is consequently strongly dependent on the model itself. Because the behavior of a fault-tolerant, highly reliable system is complex, formulating models that accurately represent that behavior can be a difficult task. Mathematical models of fault-tolerant systems must cap-Cited by: Reliability modeling of fault tolerant control systems long-term system reliability behavior during an off-line analysis. As a function criterion, R(t) is not often used as an objective or a constraint in the design phase. An al-ternative scalar reliability index, Mean Time To Failure (MTTF), is usually preferable for a controller or a system. Design of a fault tolerant control system incorporating reliability analysis and dynamic behaviour constraints F. Guenaba, P. Webera, D. Theilliola* and Y.M. Zhangb aFaculte ´des Sciences et Techniques, BP , Centre de Recherche en Automatique de Nancy, Nancy Universite, CNRS. In an FTCS, the achievable system performance depends on the availability of redundancies in the control system as well as the design approaches used in the synthesis of fault-tolerant by:

  Optimization control and reliablity of steel grinding process, R Pasquino. Fault tolerant digital techniques: VLSI wafers and boards diagnostics using multisignature analysis, A Hlawiczka. Transient fault tolerance in microprocessor controllers, J Sonnowski. Systems architectures and reliability statistics, D E Edition: 1. This book gives an introduction into the field of fault detection, fault diagnosis and fault-tolerant systems with methods which have proven their performance in practical applications. It guides the reader in a structured tutorial style: supervision methods, reliability, safety, system integrity and related terminology; fault detection with signal-based methods for periodic and stochastic signals;Brand: Springer-Verlag Berlin Heidelberg. In this paper the integration of reliability evaluation in reconfigurability analysis of a fault-tolerant control system is con-sidered. The aim of this work is to contribute to reliable fault-tolerant control design. The admissibility of control recon-figurability is analyzed with respect to reliability . In order to meet high reliability requirement of safety-critical processes, major progress has been made in fault tolerant control systems (FTCSs). FTCSs usually employ fault detection and isolation (FDI) schemes and reconfigurable controllers to accommodate fault effects, also Cited by: 5.