{"@type": "dcat:Dataset", "accessLevel": "public", "accrualPeriodicity": "irregular", "bureauCode": ["026:00"], "contactPoint": {"@type": "vcard:Contact", "fn": "Miryam Strautkalns", "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", "description": "2012_PHM_Uncertainty_KF.pdf", "downloadURL": "https://c3.nasa.gov/dashlink/static/media/publication/2012_PHM_Uncertainty_KF.pdf", "format": "PDF", "mediaType": "application/pdf", "title": "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": {"@type": "org:Organization", "name": "Dashlink"}, "title": "Uncertainty Representation and Interpretation in Model-based Prognostics Algorithms based on Kalman Filter Estimation"}