@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix org: <http://www.w3.org/ns/org#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://data.nasa.gov/dataset/be2d0c59-9ad3-4ae5-99ae-4d5249bd159f> a dcat:Dataset ;
    dct:description "The loading of spacecraft propellants is a complex, risky operation. Therefore, diagnostic solutions are neces- sary to quickly identify when a fault occurs, so that recov- ery actions can be taken or an abort procedure can be initi- ated. Model-based diagnosis solutions, established using an in-depth analysis and understanding of the underlying physi- cal processes, offer the advanced capability to quickly detect and isolate faults, identify their severity, and predict their ef- fects on system performance. We develop a physics-based model of a cryogenic propellant loading system, which de- scribes the complex dynamics of liquid hydrogen filling from a storage tank to an external vehicle tank, as well as the in- fluence of different faults on this process. The model takes into account the main physical processes such as highly non- equilibrium condensation and evaporation of the hydrogen vapor, pressurization, and also the dynamics of liquid hydro- gen and vapor flows inside the system in the presence of he- lium gas. Since the model incorporates multiple faults in the system, it provides a suitable framework for model-based di- agnostics and prognostics algorithms. Using this model, we analyze the effects of faults on the system, derive symbolic fault signatures for the purposes of fault isolation, and per- form fault identification using a particle filter approach. We demonstrate the detection, isolation, and identification of a number of faults using simulation-based experiments." ;
    dct:identifier "DASHLINK_818" ;
    dct:issued "2013-07-29"^^xsd:date ;
    dct:modified "2020-01-29"^^xsd:date ;
    dct:publisher <https://data.nasa.gov/organization/dbb294e4-8597-44f5-aaf4-c0baac12cdbc> ;
    dct:title "Model-based Diagnostics for Propellant Loading Systems" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "Miryam Strautkalns" ;
            vcard:hasEmail <mailto:miryam.strautkalns@nasa.gov> ] ;
    dcat:distribution <https://data.nasa.gov/dataset/be2d0c59-9ad3-4ae5-99ae-4d5249bd159f/resource/b27b29b1-9918-4a2d-8261-b856a8ce779e> ;
    dcat:keyword "ames",
        "dashlink",
        "nasa" .

<https://data.nasa.gov/dataset/be2d0c59-9ad3-4ae5-99ae-4d5249bd159f/resource/b27b29b1-9918-4a2d-8261-b856a8ce779e> a dcat:Distribution ;
    dct:description "14-DaigleEtAl-DiagnosticsLH2-Aerospace2011.pdf" ;
    dct:format "PDF" ;
    dct:identifier "b27b29b1-9918-4a2d-8261-b856a8ce779e" ;
    dct:issued "2025-03-31T23:56:09.589969"^^xsd:dateTime ;
    dct:modified "2025-03-31T23:56:09.577299"^^xsd:dateTime ;
    dct:title "14-DaigleEtAl-DiagnosticsLH2-Aerospace2011.pdf" ;
    dcat:accessURL <https://c3.nasa.gov/dashlink/static/media/publication/14-DaigleEtAl-DiagnosticsLH2-Aerospace2011.pdf> ;
    dcat:mediaType "application/pdf" .

<https://data.nasa.gov/organization/dbb294e4-8597-44f5-aaf4-c0baac12cdbc> a org:Organization ;
    skos:prefLabel "NASA" ;
    foaf:name "NASA" .