Prognostics Assessment Using Fleet-Wide Ontology

Gabriela Medina-Oliva, Alexandre Voisin, Maxime Monnin, Peysson Flavien, and Jean-Baptiste Léger
Submission Type: 
Full Paper
AttachmentSizeTimestamp
phmc_12_057.pdf1.38 MBSeptember 21, 2012 - 12:16am

Large complex systems, such as power plants, ships and aircraft, are composed of multiple systems, subsystems and components. When they are considered as embedded in operating systems such as a fleet, mission readiness and maintenance management issues are raised. PHM (Prognostics and Health Management) plays a key role in controlling the performance level of such systems, at least on the basis of adapted PHM strategies and system developments. Moreover considering a fleet implies to provide managers and engineers a relevant synthesis of information and to keep this information updated in terms of the global health of the fleet as well as the current status of their maintenance efforts. In order to achieve PHM at a fleet level, it is thus necessary to manage relevant knowledge arising from both modeling and monitoring of the fleet. In that way, this paper presents a knowledge structuring scheme based on ontologies for fleet PHM management applied to marine domain, with emphasis on prognostics modeling.

Publication Year: 
2012
Publication Volume: 
3
Publication Control Number: 
057
Page Count: 
10
Submission Keywords: 
PHM
prognostics
Semantic
Fleet
Submission Topic Areas: 
Health management system design and engineering
Submitted by: 
  
 
 
 

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