International Journal of Intelligent Systems and Applications (IJISA)
IJISA Vol. 11, No. 1, 8 Jan. 2019
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Method for Unit Self-Diagnosis at System Level
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Author(s)
Index Terms
System-level diagnosis, self-diagnosis, intermittent fault, hybrid-fault situations, computer simulation
Abstract
This paper suggests unconventional approach to system level self-diagnosis. Traditionally, system level self-diagnosis focuses on determining the state of the units which are tested by other system units. In contrast, the suggested approach utilizes the results of tests performed by a system unit to determine its own state. Such diagnosis is in many respects close to self-testing, since a unit evaluates its own state, which is inherent in self-testing. However, as distinct from self-testing, in the suggested approach a unit evaluates it on the basis of tests that it does not performs on itself, but on other system units. The paper considers different diagnosis models with various testing assignments and diferent faulty assumptions including permanent and intermittent faults, and hybrid- fault situations. The diagnosis algorithm for identifying the unit’s state has been developed, and correctness of the algorithm has been verified by computer simulation experiments.
Cite This Paper
Viktor Mashkov, Volodymyr Lytvynenko, "Method for Unit Self-Diagnosis at System Level", International Journal of Intelligent Systems and Applications(IJISA), Vol.11, No.1, pp.1-12, 2019. DOI:10.5815/ijisa.2019.01.01
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