A Methodology for Updating Prognostic Models via Kalman Filters
Prognostic models are built to predict the future evolution of the state or health of a system. Typical applications of these models include predictions of damage (like crack, wear) and estimation of remaining useful life of a component. Prognostic models may be data based, based on known physics of...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
The Prognostics and Health Management Society
2016-12-01
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| Series: | International Journal of Prognostics and Health Management |
| Subjects: | |
| Online Access: | https://papers.phmsociety.org/index.php/ijphm/article/view/2525 |