2003 IEEE Aerospace Conference Proceedings (Cat. No.03TH8652)
DOI: 10.1109/aero.2003.1234159
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An open systems architecture for prognostic inference during condition-based monitoring

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Cited by 10 publications
(4 citation statements)
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“…In order to increase machines availabilities and to avoid downtimes or to reduce their durations, PHM functionalities must be implemented according to the seven-layer frame proposed by the OSA-CBM (Open System Architecture for Condition Based Monitoring) project [58] leading to standard ISO 13374-1. Distributed implementations of this frame based on holonic architecture have shown their effectiveness in the domain of health assessment (diagnosis) of complex systems [59] but also in making decision to maintain devices from a fleet monitoring [60].…”
Section: Problem Statementmentioning
confidence: 99%
“…In order to increase machines availabilities and to avoid downtimes or to reduce their durations, PHM functionalities must be implemented according to the seven-layer frame proposed by the OSA-CBM (Open System Architecture for Condition Based Monitoring) project [58] leading to standard ISO 13374-1. Distributed implementations of this frame based on holonic architecture have shown their effectiveness in the domain of health assessment (diagnosis) of complex systems [59] but also in making decision to maintain devices from a fleet monitoring [60].…”
Section: Problem Statementmentioning
confidence: 99%
“…A number of different general-purpose frameworks for prognosis have been proposed, although a standardized solution to prognosis has yet to emerge. Provan, in [17], presents a general approach to prognosis that is based on an open systems architecture, specifying what inputs and outputs are needed for prognosis. As it is in our work, the prognosis of a component is defined as the probability of future health, given the present health and the expected usage between the present and the future.…”
Section: Related Workmentioning
confidence: 99%
“…CBM, mission reconfiguration) with the economic goal of maximizing the service life of replaceable and serviceable components while minimizing operational risk [15], as main concept of prognosis is to measure the remaining useful life of a component. There are several factors that are critical to perform a prognosis [18], including…”
Section: B Prognosis Representationmentioning
confidence: 99%