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Critical Observations in a Diagnostic Problem

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Christopher, Cody
Cordier, Marie-Odile
Grastien, Alban

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IEEE Control Systems Society

Abstract

We claim that presenting a human operator in charge of repairing a faulty system with a small subset of observations relevant to the failure improves awareness and confidence of the operator. Consequently, we introduce the problem of finding a set of relevant observations (called the critical observations) that can be used to derive the same diagnosis as the full problem. We show how this problem can be solved and illustrate its benefits on a real diagnostic problem.

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Critical Observations in a Diagnostic Problem

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2037-12-31
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