This paper introduces a diagnosis algorithm for triangular grids. The diagnosis provided by the algorithm is proved to be correct, but possibly incomplete, if the number of expected faults in the system is below a "syndrome-dependent bound" asserted by the algorithm itself. The diagnosis algorithm has time complexity of O(n) were n is the number of units in the system. A stronger "syndrome-independent bound" T, holding lor every possible syndrome, is also derived by worst-case analysis. The paper concludes with a simulation study aimed at evaluating the degree of diagnosis correctness and completeness provided by the algorithm.

Fault diagnosis of triangular grids

2000

Abstract

This paper introduces a diagnosis algorithm for triangular grids. The diagnosis provided by the algorithm is proved to be correct, but possibly incomplete, if the number of expected faults in the system is below a "syndrome-dependent bound" asserted by the algorithm itself. The diagnosis algorithm has time complexity of O(n) were n is the number of units in the system. A stronger "syndrome-independent bound" T, holding lor every possible syndrome, is also derived by worst-case analysis. The paper concludes with a simulation study aimed at evaluating the degree of diagnosis correctness and completeness provided by the algorithm.
2000
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Operating systems
Fault tolerance
Testing
Array and vector processing
Reliability
Control structure reliability
Testing and fault-tolerance
Reliability
testing and fault-tolerance
Multiple data stream architectures (multiprocessors)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/365826
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