2015
DOI: 10.23939/mmc2015.01.071
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Interpretation of diagnosis problem of system level self-diagnosis

Abstract: The paper represents the analysis of the main issues of system level self-diagnosis and explanation of its three basic problems. The main attention is paid to the problem of diagnosis which is expressed with the help of set theory. The influence of made assumptions concerning the allowable faulty sets on the diagnosis results is discussed with the help of simple example.

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Cited by 5 publications
(1 citation statement)
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“…There could be used the diagnosis algorithm presented in [12]. This algorithm is based on the matrix which is similar to matrix R M and can identify all faulty units (on the condition that total number of faulty units does not exceed the value t ).…”
Section: If After Several Rounds Of Tests Repetitions the Conditionmentioning
confidence: 99%
“…There could be used the diagnosis algorithm presented in [12]. This algorithm is based on the matrix which is similar to matrix R M and can identify all faulty units (on the condition that total number of faulty units does not exceed the value t ).…”
Section: If After Several Rounds Of Tests Repetitions the Conditionmentioning
confidence: 99%