{"@type": "dcat:Dataset", "accessLevel": "public", "accrualPeriodicity": "irregular", "bureauCode": ["026:00"], "contactPoint": {"@type": "vcard:Contact", "fn": "Miryam Strautkalns", "hasEmail": "mailto:miryam.strautkalns@nasa.gov"}, "description": "Model-based prognostics approaches capture system knowl- edge in the form of physics-based models of components that include how they fail. These methods consist of a damage estimation phase, in which the health state of a component is estimated, and a prediction phase, in which the health state is projected forward in time to determine end of life. However, the damage estimation problem is often multi-dimensional and computationally intensive. We propose a model decom- position approach adapted from the diagnosis community, called possible conflicts, in order to both improve the com- putational efficiency of damage estimation, and formulate a damage estimation approach that is inherently distributed. Local state estimates are combined into a global state esti- mate from which prediction is performed. Using a centrifugal pump as a case study, we perform a number of simulation- based experiments to demonstrate the approach.", "distribution": [{"@type": "dcat:Distribution", "description": "13-DaigleEtAl-DistribDamageEstimation-PHM2011.pdf", "downloadURL": "https://c3.nasa.gov/dashlink/static/media/publication/13-DaigleEtAl-DistribDamageEstimation-PHM2011.pdf", "format": "PDF", "mediaType": "application/pdf", "title": "13-DaigleEtAl-DistribDamageEstimation-PHM2011.pdf"}], "identifier": "DASHLINK_817", "issued": "2013-07-29", "keyword": ["ames", "dashlink", "nasa"], "landingPage": "https://c3.nasa.gov/dashlink/resources/817/", "modified": "2025-03-31", "programCode": ["026:029"], "publisher": {"@type": "org:Organization", "name": "Dashlink"}, "title": "Distributed Damage Estimation for Prognostics based on Structural Model Decomposition"}