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Article Dans Une Revue Engineering Applications of Artificial Intelligence Année : 2013

Embedded Holonic Fault Diagnosis of Complex Transportation Systems

Résumé

The use of electronic equipment and embedded computing technologies in modern complex transportation systems continues to grow in a highly competitive market, in which product maintainability and availability is vital. These technological advances also make fault diagnosis and maintenance interventions much more challenging, since these operations require a deep understanding of the entire system. This paper proposes a holonic cooperative fault diagnosis approach, along with a generic architecture, to increase the embedded diagnosis capabilities of complex transportation systems. This concept is applied to the fault diagnosis of door systems of a railway transportation system
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Dates et versions

hal-03041257 , version 1 (04-12-2020)

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Antoine Le Mortellec, Joffrey Clarhaut, Yves Sallez, Thierry Berger, Damien Trentesaux. Embedded Holonic Fault Diagnosis of Complex Transportation Systems. Engineering Applications of Artificial Intelligence, 2013, 26 (1), pp.227-240. ⟨10.1016/j.engappai.2012.09.008⟩. ⟨hal-03041257⟩
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