Modeling and metrics

Abhijit V. Deshmukh; Arie Dubi; Valèrie Zille; Christophe Bèrenguer; Antoine Grall; Antoine Despujols; Jèrome Lonchampt; Antonio C. Caputo; Pacifico M. Pelagagge; Orlando Borgia; Filippo De Carlo; Marco Peccianti; Mario Tucci

doi:10.1007/978-1-84882-489-8_3

Modeling and metrics

Abhijit V. Deshmukh, Arie Dubi, Valèrie Zille, Christophe Bèrenguer, Antoine Grall, Antoine Despujols, Jèrome Lonchampt, Antonio C. Caputo, Pacifico M. Pelagagge, Orlando Borgia, Filippo De Carlo, Marco Peccianti, Mario Tucci

Unit of Nuclear Engineering

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

Abstract

Selection of appropriate maintenance actions and strategies for preventive maintenance depends on our ability to accurately predict component deterioration, and its impact on overall system performance. The ability to predict component and system behavior under uncertainty depends on the selection of appropriate modeling methodologies that allow decision-makers to represent the complex system interactions at required fidelity and capture the impact of component deterioration or failure on overall system performance. Another important factor affecting the selection of an appropriate modeling framework is the performance metric or objective function used to monitor the performance of maintenance plans. In most cases, selection of appropriate modeling tools and metrics is key to developing successful predictive maintenance systems.

Original language	English
Title of host publication	Recent Advances in Maintenance and Infrastructure Management
Publisher	Springer London
Pages	97-170
Number of pages	74
ISBN (Print)	9781848824881
DOIs	https://doi.org/10.1007/978-1-84882-489-8_3
State	Published - 1 Dec 2009

ASJC Scopus subject areas

General Engineering

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10.1007/978-1-84882-489-8_3

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AU - Deshmukh, Abhijit V.

AU - Dubi, Arie

AU - Zille, Valèrie

AU - Bèrenguer, Christophe

AU - Grall, Antoine

AU - Despujols, Antoine

AU - Lonchampt, Jèrome

AU - Caputo, Antonio C.

AU - Pelagagge, Pacifico M.

AU - Borgia, Orlando

AU - De Carlo, Filippo

AU - Peccianti, Marco

AU - Tucci, Mario

PY - 2009/12/1

Y1 - 2009/12/1

N2 - Selection of appropriate maintenance actions and strategies for preventive maintenance depends on our ability to accurately predict component deterioration, and its impact on overall system performance. The ability to predict component and system behavior under uncertainty depends on the selection of appropriate modeling methodologies that allow decision-makers to represent the complex system interactions at required fidelity and capture the impact of component deterioration or failure on overall system performance. Another important factor affecting the selection of an appropriate modeling framework is the performance metric or objective function used to monitor the performance of maintenance plans. In most cases, selection of appropriate modeling tools and metrics is key to developing successful predictive maintenance systems.

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SN - 9781848824881

SP - 97

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BT - Recent Advances in Maintenance and Infrastructure Management

PB - Springer London

ER -

Modeling and metrics

Abstract

ASJC Scopus subject areas

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