Article ID Journal Published Year Pages File Type
381053 Engineering Applications of Artificial Intelligence 2013 14 Pages PDF
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
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