DocumentCode :
2005444
Title :
Defining and implementing a distributed and reconfigurable information system for prognostics
Author :
Gauvain, Marie-Daniele ; Gouriveau, Rafael ; Zerhouni, Noureddine ; Varnier, Christophe ; Piat, Nadine ; Hessabi, Mike
Author_Institution :
FEMTO - ST Inst., Besançon, France
fYear :
2011
fDate :
24-25 May 2011
Firstpage :
1
Lastpage :
6
Abstract :
According to Condition Based Maintenance practitioners, various activities, ranging from data collection through the recommendation of specific maintenance actions, must be carried out to perform predictive maintenance. Nevertheless, in practice, (and in spite of recommendations like those ones of the OSA-CBM standard), defining and implementing a computer software system for CBM is not a trivial task. That can be mostly explained by the necessity of providing a distributed application that enables to share data and information in an easy but effective manner in-between various actors from various industrial plants. Following that, the aim of the paper is to describe a collaborative software that has been developed in the society e-m@systec. Its simple architecture, as well as its evolving and customizable capabilities make the global information system as useful for distributed applications. The usage of JEE technology improves the portability of the system. This software is well adapted to support predictive maintenance strategies. Thereby and as for an illustration, an example related to a prognostic problem is also described.
Keywords :
data acquisition; information systems; maintenance engineering; JEE technology; OSA-CBM standard; collaborative software; condition based maintenance; industrial plant; prognostic; reconfigurable information system; Indexes; Planning; Software; CBM; Predictive maintenance; e-maintenance platform; modular architecture; prognotic module;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Prognostics and System Health Management Conference (PHM-Shenzhen), 2011
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-7951-1
Electronic_ISBN :
978-1-4244-7949-8
Type :
conf
DOI :
10.1109/PHM.2011.5939500
Filename :
5939500
Link To Document :
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