Uncertainty Representation and Interpretation in Model-based Prognostics Algorithms based on Kalman Filter Estimation
This article discusses several aspects of uncertainty represen- tation and management for model-based prognostics method- ologies based on our experience with Kalman Filters when applied to prognostics for electronics components. In par- ticular, it explores the implications of modeling remaining useful life prediction as a stochastic process and how it re- lates to uncertainty representation, management, and the role of prognostics in decision-making. A distinction between the interpretations of estimated remaining useful life probability density function and the true remaining useful life probabil- ity density function is explained and a cautionary argument is provided against mixing interpretations for the two while considering prognostics in making critical decisions.
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| accrualPeriodicity | irregular |
| bureauCode |
[ "026:00" ] |
| contactPoint |
{ "fn": "Miryam Strautkalns", "@type": "vcard:Contact", "hasEmail": "mailto:miryam.strautkalns@nasa.gov" } |
| description | This article discusses several aspects of uncertainty represen- tation and management for model-based prognostics method- ologies based on our experience with Kalman Filters when applied to prognostics for electronics components. In par- ticular, it explores the implications of modeling remaining useful life prediction as a stochastic process and how it re- lates to uncertainty representation, management, and the role of prognostics in decision-making. A distinction between the interpretations of estimated remaining useful life probability density function and the true remaining useful life probabil- ity density function is explained and a cautionary argument is provided against mixing interpretations for the two while considering prognostics in making critical decisions. |
| distribution |
[ { "@type": "dcat:Distribution", "title": "2012_PHM_Uncertainty_KF.pdf", "format": "PDF", "mediaType": "application/pdf", "description": "2012_PHM_Uncertainty_KF.pdf", "downloadURL": "https://c3.nasa.gov/dashlink/static/media/publication/2012_PHM_Uncertainty_KF.pdf" } ] |
| identifier | DASHLINK_789 |
| issued | 2013-06-19 |
| keyword |
[ "ames", "dashlink", "nasa" ] |
| landingPage | https://c3.nasa.gov/dashlink/resources/789/ |
| modified | 2025-03-31 |
| programCode |
[ "026:029" ] |
| publisher |
{ "name": "Dashlink", "@type": "org:Organization" } |
| title | Uncertainty Representation and Interpretation in Model-based Prognostics Algorithms based on Kalman Filter Estimation |
