Distributed Diagnosis using a Condensed Representation of Diagnoses with application to an Automotive Vehicle
In fault detection and isolation, diagnostic test results are commonly
used to compute a set of diagnoses, where each diagnosis points at a
set of components which might behave abnormally. In distributed
systems consisting of multiple control units, the test results in each
unit can be used to compute local diagnoses while all test results in
the complete system give the global diagnoses. It is an advantage for
both repair and fault-tolerant control to have access to the global
diagnoses in each unit since these diagnoses represent all test
results in all units. However, when the diagnoses, for example, are to
be used to repair a unit, only the components that are used by the
unit are of interest. The reason for this is that it is only these
components that could have caused the abnormal behavior. However, the
global diagnoses might include components from the complete system and
therefore often include components that are superfluous for the
unit. Motivated by this observation, a new type of diagnosis is
proposed, namely, the condensed diagnosis. Each unit has a unique set
of condensed diagnoses which represents the global diagnoses. The
benefit of the condensed diagnoses is that they only include
components used by the unit while still representing the global
diagnoses. The proposed method is applied to an automotive vehicle,
and the results from the application study show the benefit of using
condensed diagnoses compared to global diagnoses.
Jonas Biteus, Erik Frisk and Mattias Nyberg
IEEE Transactions on Systems, Man, and Cybernetics -- Part A: Systems and Humans,
2011
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