Prognosis and condition-based monitoring: An open systems architecture

Gregory Provan

doi:10.1016/S1474-6670(17)36474-1

Prognosis and condition-based monitoring: An open systems architecture

Gregory Provan

Teledyne Technologies

Research output: Contribution to journal › Article › 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 (b) the inputs and outputs that must be present in such a module.

Original language	English
Pages (from-to)	81-86
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	36
Issue number	5
DOIs	https://doi.org/10.1016/S1474-6670(17)36474-1
Publication status	Published - 2003
Externally published	Yes
Event	5th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Safeprocess 2003 - Washington, United States Duration: 9 Jun 1997 → 11 Jun 1997

Keywords

Condition-Based Monitoring
Statistical Methods in Fault Diagnosis

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10.1016/S1474-6670(17)36474-1

Cite this

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title = "Prognosis and condition-based monitoring: An open systems architecture",

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 (b) the inputs and outputs that must be present in such a module.",

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N2 - 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 (b) the inputs and outputs that must be present in such a module.

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 (b) the inputs and outputs that must be present in such a module.

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KW - Statistical Methods in Fault Diagnosis

UR - https://www.scopus.com/pages/publications/85029920539

U2 - 10.1016/S1474-6670(17)36474-1

DO - 10.1016/S1474-6670(17)36474-1

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AN - SCOPUS:85029920539

SN - 2405-8971

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JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 5

Y2 - 9 June 1997 through 11 June 1997

ER -

Prognosis and condition-based monitoring: An open systems architecture

Abstract

Keywords

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