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

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


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 languageEnglish
Title of host publicationRecent Advances in Maintenance and Infrastructure Management
PublisherSpringer London
Number of pages74
ISBN (Print)9781848824881
StatePublished - 1 Dec 2009

ASJC Scopus subject areas

  • General Engineering


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