Embedded holonic fault diagnosis of complex transportation systems

Authors:
Antoine Le Mortellec;Joffrey Clarhaut;Yves Sallez;Thierry Berger;Damien Trentesaux
Affiliations:
University of Lille Nord de France, F-59000 Lille, France and UVHC, TEMPO Lab, "Production, Services, Information" team, F-59313 Valenciennes, France;University of Lille Nord de France, F-59000 Lille, France and UVHC, TEMPO Lab, "Production, Services, Information" team, F-59313 Valenciennes, France;University of Lille Nord de France, F-59000 Lille, France and UVHC, TEMPO Lab, "Production, Services, Information" team, F-59313 Valenciennes, France;University of Lille Nord de France, F-59000 Lille, France and UVHC, TEMPO Lab, "Production, Services, Information" team, F-59313 Valenciennes, France;University of Lille Nord de France, F-59000 Lille, France and UVHC, TEMPO Lab, "Production, Services, Information" team, F-59313 Valenciennes, France
Venue:
Engineering Applications of Artificial Intelligence
Year:
2013

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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.