@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://data.amerigeoss.org/dataset/fb93b64f-609e-4d16-bbc8-c011ff760824> a dcat:Dataset ;
    dct:description "Model-based prognostics approaches rely on physics-based models that describe the behavior of systems and their components. These models must account for the several different damage processes occurring simultaneously within a component. Each of these damage and wear processes contribute to the overall component degradation. We develop a model-based prognostics methodology that consists of a joint state-parameter estimation problem, in which the state of a system along with parameters describing the damage progression are estimated, followed by a prediction problem, in which the joint state-parameter estimate is propagated forward in time to predict end of life and remaining useful life. The state-parameter estimate is computed using a particle filter, and is represented as a probability distribution, allowing the prediction of end of life and remaining useful life within a probabilistic framework that supports uncertainty management. We also develop a novel variance control algorithm that maintains an uncertainty bound around the unknown parameters to limit the amount of estimation uncertainty and, consequently, reduce prediction uncertainty. We construct a detailed physics-based model of a centrifugal pump that includes damage progression models, to which we apply our model-based prognostics algorithm. We illustrate the operation of the prognostic solution with a number of simulation-based experiments and demonstrate the performance of the approach when multiple damage mechanisms are active." ;
    dct:identifier "fb93b64f-609e-4d16-bbc8-c011ff760824" ;
    dct:issued "2025-12-02T09:12:21.135472"^^xsd:dateTime ;
    dct:modified "2025-12-02T09:12:21.135477"^^xsd:dateTime ;
    dct:publisher <https://data.amerigeoss.org/organization/727dbdd5-3f98-4ac0-9d28-5e344558139b> ;
    dct:title "Model-based Prognostics with Concurrent Damage Progression Processes" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "Matthew Daigle" ;
            vcard:hasEmail <mailto:matthew.j.daigle@nasa.gov> ] ;
    dcat:distribution <https://data.amerigeoss.org/dataset/fb93b64f-609e-4d16-bbc8-c011ff760824/resource/e454c946-e8c3-4b37-b858-352cf9fe31b1> ;
    dcat:keyword "amerigeo",
        "amerigeoss",
        "ckan",
        "geo",
        "geoss",
        "national",
        "north-america",
        "united-states" .

<https://data.amerigeoss.org/dataset/fb93b64f-609e-4d16-bbc8-c011ff760824/resource/e454c946-e8c3-4b37-b858-352cf9fe31b1> a dcat:Distribution ;
    dct:description "pump-prognosis.pdf" ;
    dct:issued "2018-08-01T13:17:28.091808"^^xsd:dateTime ;
    dct:modified "2025-12-02T09:12:21.129668"^^xsd:dateTime ;
    dct:title "pump-prognosis.pdf" ;
    dcat:accessURL <https://c3.nasa.gov/dashlink/static/media/publication/pump-prognosis.pdf> ;
    dcat:mediaType "application/x-download" .

<https://data.amerigeoss.org/organization/727dbdd5-3f98-4ac0-9d28-5e344558139b> a foaf:Agent ;
    foaf:name "US Migrating" .