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Embedded Holonic Fault Diagnosis of Complex Transportation Systems

Abstract : 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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Submitted on : Friday, December 4, 2020 - 6:29:15 PM
Last modification on : Monday, March 28, 2022 - 10:45:10 AM

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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, Elsevier, 2013, 26 (1), pp.227-240. ⟨10.1016/j.engappai.2012.09.008⟩. ⟨hal-03041257⟩

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