@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/54b7ce9d-ea68-485c-aca5-ad4b9ea50985> a dcat:Dataset ;
    dct:description """Electrical power systems play a critical role in spacecraft\r
and aircraft, and they exhibit a rich variety of failure modes.\r
This paper discusses electrical power system fault diagnosis\r
by means of probabilistic techniques. Specically, we discuss\r
our development of a diagnostic capability for an electrical\r
power system testbed, ADAPT, located at NASA Ames.\r
We emphasize how we have tackled two challenges, regarding\r
modelling and real-time performance, often encountered\r
when developing diagnostic applications. We carefully discuss\r
our Bayesian network modeling approach for electrical\r
power systems. To achieve real-time performance, we build\r
on recent theoretically well-founded developments that compile\r
a Bayesian network into an arithmetic circuit. Arithmetic\r
circuits have low footprint and are optimized for embedded,\r
real-time systems such as spacecraft and aircraft.\r
We discuss our probabilistic diagnostic models developed for\r
ADAPT along with successful experimental results.""" ;
    dct:identifier "DASHLINK_865" ;
    dct:issued "2013-12-18"^^xsd:date ;
    dct:modified "2020-01-29"^^xsd:date ;
    dct:publisher <https://data.nasa.gov/organization/dbb294e4-8597-44f5-aaf4-c0baac12cdbc> ;
    dct:title "Diagnosing Faults in Electrical Power Systems of Spacecraft and Aircraft" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "SCOTT POLL" ;
            vcard:hasEmail <mailto:scott.d.poll@nasa.gov> ] ;
    dcat:distribution <https://data.nasa.gov/dataset/54b7ce9d-ea68-485c-aca5-ad4b9ea50985/resource/dbf59ad9-2f09-44cb-8315-3e8db60f5cce> ;
    dcat:keyword "ames",
        "dashlink",
        "nasa" .

<https://data.nasa.gov/dataset/54b7ce9d-ea68-485c-aca5-ad4b9ea50985/resource/dbf59ad9-2f09-44cb-8315-3e8db60f5cce> a dcat:Distribution ;
    dct:description "2008AAAI_Mengshoel_DiagnosingFaultsElectricalPowerSystems.pdf" ;
    dct:format "PDF" ;
    dct:identifier "dbf59ad9-2f09-44cb-8315-3e8db60f5cce" ;
    dct:issued "2025-03-31T15:33:10.416466"^^xsd:dateTime ;
    dct:modified "2025-03-31T15:33:10.400943"^^xsd:dateTime ;
    dct:title "2008AAAI_Mengshoel_DiagnosingFaultsElectricalPowerSystems.pdf" ;
    dcat:accessURL <https://c3.nasa.gov/dashlink/static/media/publication/2008AAAI_Mengshoel_DiagnosingFaultsElectricalPowerSystems.pdf> ;
    dcat:mediaType "application/pdf" .

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