Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
381053 | Engineering Applications of Artificial Intelligence | 2013 | 14 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Antoine Le Mortellec, Joffrey Clarhaut, Yves Sallez, Thierry Berger, Damien Trentesaux,