@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://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00096279v1> a dcat:Dataset ;
    dct:description """
              This paper deals with the modelization and detection of non-stationary random signals in the time-frequency space. A time-frequency random model of signal is derived from a given temporal model. The time model we are interested in consists in a deterministic signal embedded in an additive centered Gaussian perturbation. This Gaussian model is characterized by two parameters, which are the mean and covariance matrix of the process. The corresponding time-frequency model depends on the time-frequency transform applied to the signal. For the spectrogram, the determinant parameters are the nature and length of the analysis window and the zero-padding. We show that for a Gaussian signal, spectrogram coefficients distribution can be approximated by a $chi^2$ law defined by three parameters. A time-frequency signal detection task inspired from a Neyman-Pearson strategy is performed on the basis of this probabilistic time-frequency model. The detector determines the time-frequency regions where signal energy is present. It thus provides a time-frequency signature of the signal. This information is used for structural health monitoring techniques. Extraction of the fundamental meshing frequency and harmonics of a gearbox under varying load conditions is presented.
            """ ;
    dct:identifier "hal-00096279" ;
    dct:issued "2026-05-05T22:42:48.122139"^^xsd:dateTime ;
    dct:language "en" ;
    dct:modified "2026-05-05T22:42:48.122143"^^xsd:dateTime ;
    dct:publisher <https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> ;
    dct:title "Time-Frequency Modeling and Detection of random non-stationary signals for Monitoring Purposes" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "CCSD" ] ;
    dcat:distribution <https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00096279v1/resource/fac8665e-3656-4832-81fb-f8e52029409e> ;
    dcat:keyword "conference-papers",
        "infoeu-reposemanticsconferenceobject",
        "infoinfo-tscomputer-science-cssignal-and-image-processing",
        "monitoring",
        "spectrogram",
        "spisignalengineering-sciences-physicssignal-and-image-processing",
        "time-frequency-detection" ;
    dcat:landingPage <47th%20American%20Institut%20of%20Aeronautics%20and%20Astronautics%20%28AIAA%29%20conference.> .

<47th%20American%20Institut%20of%20Aeronautics%20and%20Astronautics%20%28AIAA%29%20conference.> a foaf:Document .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00096279v1/resource/fac8665e-3656-4832-81fb-f8e52029409e> a dcat:Distribution ;
    dct:format "HTML" ;
    dct:issued "2026-05-05T22:42:48.159779"^^xsd:dateTime ;
    dct:modified "2026-05-05T22:42:48.109080"^^xsd:dateTime ;
    dct:title "Time-Frequency Modeling and Detection of random non-stationary signals for Monitoring Purposes" ;
    dcat:accessURL <https://hal.science/hal-00096279> .

<https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> a foaf:Agent ;
    foaf:name "test_moissonnage_selune" .