A multilevel fault model for integrated parallel fault-tolerant systems

2012 ◽  
Vol 24 (7) ◽  
pp. 687-698 ◽  
Author(s):  
Bernhard Fechner
Keyword(s):  
Fault Tolerant ◽  
Fault Model ◽  
Fault Tolerant Systems

scholarly journals Test

2021 ◽  
pp. 381-391
Author(s):  
Peter Marwedel
Keyword(s):  
Physical System ◽  
Fault Tolerant ◽  
Fault Injection ◽  
Fault Simulation ◽  
Fault Coverage ◽  
Fault Model ◽  
Pattern Generation ◽  
Signature Analysis ◽  
Fault Tolerant Systems ◽  
Random Patterns

AbstractUnfortunately, we cannot rely on designed and possibly already manufactured systems to operate as expected. These systems may have become defective during their use, or their function may have been compromised during the fabrication or their design. The purpose of testing is to verify whether or not an existing embedded/cyber-physical system can be operated as expected. In this chapter, we will present fundamental terms and techniques for testing. There will be a brief introduction to the aims of test pattern generation and their application. We will be introducing terms such as fault model, fault coverage, fault simulation, and fault injection. Also, we will be presenting techniques which improve testability, including the generation of pseudo-random patterns, and signature analysis. It would be beneficial to consider testability issues already during design. In case of fault-tolerant systems, resilience must be verified.

Fault-tolerant systems with concurrent error-locating capability

2003 ◽  
Vol 18 (2) ◽  
pp. 190-200 ◽  
Author(s):  
JianHui Jiang ◽  
YingHua Min ◽  
ChengLian Peng
Keyword(s):  
Fault Tolerant ◽  
Fault Tolerant Systems

Synthesizing Masking Fault-Tolerant Systems from Deontic Specifications

2013 ◽  
pp. 163-177 ◽  
Author(s):  
Ramiro Demasi ◽  
Pablo F. Castro ◽  
Thomas S. E. Maibaum ◽  
Nazareno Aguirre
Keyword(s):  
Fault Tolerant ◽  
Fault Tolerant Systems

scholarly journals A continuous-time semi-markov bayesian belief network model for availability measure estimation of fault tolerant systems

2008 ◽  
Vol 28 (2) ◽  
pp. 355-375 ◽  
Author(s):  
Márcio das Chagas Moura ◽  
Enrique López Droguett
Keyword(s):  
Hybrid Model ◽  
Markov Processes ◽  
Continuous Time ◽  
Fault Tolerant ◽  
Numerical Procedure ◽  
Bayesian Belief Networks ◽  
Operational Conditions ◽  
Fault Tolerant Systems ◽  
Semi Markov Processes ◽  
Availability Measure

In this work it is proposed a model for the assessment of availability measure of fault tolerant systems based on the integration of continuous time semi-Markov processes and Bayesian belief networks. This integration results in a hybrid stochastic model that is able to represent the dynamic characteristics of a system as well as to deal with cause-effect relationships among external factors such as environmental and operational conditions. The hybrid model also allows for uncertainty propagation on the system availability. It is also proposed a numerical procedure for the solution of the state probability equations of semi-Markov processes described in terms of transition rates. The numerical procedure is based on the application of Laplace transforms that are inverted by the Gauss quadrature method known as Gauss Legendre. The hybrid model and numerical procedure are illustrated by means of an example of application in the context of fault tolerant systems.

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