@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/0752f497-706f-42f8-b5e0-ba7fd67712af> a dcat:Dataset ;
    dct:description """A variety of rule-based, model-based and datadriven\r
techniques have been proposed for detection\r
and isolation of faults in physical systems.\r
However, there have been few efforts to comparatively\r
analyze the performance of these approaches\r
on the same system under identical conditions.\r
One reason for this was the lack of a standard\r
framework to perform this comparison. In this paper\r
we introduce a framework, called DXF, that\r
provides a common language to represent the system\r
description, sensor data and the fault diagnosis\r
results; a run-time architecture to execute\r
the diagnosis algorithms under identical conditions\r
and collect the diagnosis results; and an evaluation\r
component that can compute performance\r
metrics from the diagnosis results to compare the\r
algorithms. We have used DXF to perform an empirical\r
evaluation of 13 diagnostic algorithms on a\r
hardware testbed (ADAPT) at NASA Ames Research\r
Center and on a set of synthetic circuits\r
typically used as benchmarks in the model-based\r
diagnosis community. Based on these empirical\r
data we analyze the performance of each algorithm\r
and suggest directions for future development.""" ;
    dct:identifier "DASHLINK_864" ;
    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 "Empirical Evaluation of Diagnostic Algorithm Performance Using a Generic Framework" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "SCOTT POLL" ;
            vcard:hasEmail <mailto:scott.d.poll@nasa.gov> ] ;
    dcat:distribution <https://data.nasa.gov/dataset/0752f497-706f-42f8-b5e0-ba7fd67712af/resource/d44384ba-545d-4a68-928f-ab1efc96d9b8> ;
    dcat:keyword "ames",
        "dashlink",
        "nasa" .

<https://data.nasa.gov/dataset/0752f497-706f-42f8-b5e0-ba7fd67712af/resource/d44384ba-545d-4a68-928f-ab1efc96d9b8> a dcat:Distribution ;
    dct:description "ijPHM_10_002.pdf" ;
    dct:format "PDF" ;
    dct:identifier "d44384ba-545d-4a68-928f-ab1efc96d9b8" ;
    dct:issued "2025-03-31T17:31:38.790998"^^xsd:dateTime ;
    dct:modified "2025-03-31T17:31:38.777260"^^xsd:dateTime ;
    dct:title "ijPHM_10_002.pdf" ;
    dcat:accessURL <https://c3.nasa.gov/dashlink/static/media/publication/ijPHM_10_002.pdf> ;
    dcat:mediaType "application/pdf" .

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