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Enhancing Decisions in Prognostics and Health Management Framework
- Source :
- International Journal of Prognostics and Health Management, Vol 11, Iss 1 (2020)
- Publication Year :
- 2020
- Publisher :
- The Prognostics and Health Management Society, 2020.
-
Abstract
- Prognostics and health management have become increasingly important in recent years. Many research studies focus on a crucial phase consisting of predicting the remaining useful life of equipment or a component. However, this step is often carried out without taking into account the decisions that will be taken later. This article aims to propose a modification of the existing PHM framework to combine the prognostics and decision-making phases in a closed loop. In this paper, the presented framework is described and some elements for its implementation are proposed. A simplifiedexample is developed to illustrate the presented methodology of post-prognostic decision enhancement.
- Subjects :
- Focus (computing)
Decision support system
decision support
Computer science
Mechanical Engineering
Energy Engineering and Power Technology
TA213-215
Phase (combat)
Systems engineering
Engineering machinery, tools, and implements
TA168
Risk analysis (engineering)
Component (UML)
Computer Science (miscellaneous)
Research studies
Prognostics
prognostics and health management (phm)
Safety, Risk, Reliability and Quality
Closed loop
post-prognostics decision
Civil and Structural Engineering
Subjects
Details
- Language :
- English
- ISSN :
- 21532648
- Volume :
- 11
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- International Journal of Prognostics and Health Management
- Accession number :
- edsair.doi.dedup.....7ae9dec1da712cead3e49c58c249deb2