An open systems architecture for prognostic inference during condition-based monitoring

Gregory Provan

doi:10.1109/AERO.2003.1234159

An open systems architecture for prognostic inference during condition-based monitoring

Gregory Provan

Rockwell Collins

Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review

Abstract

This article describes an open systems architecture (OSA) for prognostic inference. and the role it plays in an open systems architecture for Condition-Based Monitoring (CBM). We specify a prognosis OSA by specifying (a) the function fulfilled by a generic prognosis module. and (h) the inputs and outputs that must be present in such a module.

Original language	English
Title of host publication	2003 IEEE Aerospace Conference, Proceedings
Pages	3157-3164
Number of pages	8
DOIs	https://doi.org/10.1109/AERO.2003.1234159
Publication status	Published - 2003
Externally published	Yes
Event	2003 IEEE Aerospace Conference - Big Sky, MT, United States Duration: 8 Mar 2003 → 15 Mar 2003

Publication series

Name	IEEE Aerospace Conference Proceedings
Volume	7
ISSN (Print)	1095-323X

Conference

Conference	2003 IEEE Aerospace Conference
Country/Territory	United States
City	Big Sky, MT
Period	8/03/03 → 15/03/03

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10.1109/AERO.2003.1234159

Cite this

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title = "An open systems architecture for prognostic inference during condition-based monitoring",

abstract = "This article describes an open systems architecture (OSA) for prognostic inference. and the role it plays in an open systems architecture for Condition-Based Monitoring (CBM). We specify a prognosis OSA by specifying (a) the function fulfilled by a generic prognosis module. and (h) the inputs and outputs that must be present in such a module.",

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AB - This article describes an open systems architecture (OSA) for prognostic inference. and the role it plays in an open systems architecture for Condition-Based Monitoring (CBM). We specify a prognosis OSA by specifying (a) the function fulfilled by a generic prognosis module. and (h) the inputs and outputs that must be present in such a module.

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SN - 9780780376519

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BT - 2003 IEEE Aerospace Conference, Proceedings

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An open systems architecture for prognostic inference during condition-based monitoring

Abstract

Publication series

Conference

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