Particle image velocimetry and near-field pressure were collected for an axisymmetric, Mach 0.6 jet. Some of the pressure sensors were in between the laser sheet and camera, causing occlusions in the particle image velocimetry data. Using ideas from the data fusion community, these occluded regions could be repaired. In this case, the particle image velocimetry data could be fused with the knowledge that the velocity field was symmetric about the center axis using a new technique called fused proper orthogonal decomposition, which is inspired by gappy proper orthogonal decomposition and image/wavelet fusion. Using this technique, 90% of the missing data could be estimated with 10% error.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Repairing Occluded Data for a Mach 0.6 Jet via Data Fusion


    Beteiligte:

    Erschienen in:

    AIAA Journal ; 55 , 1 ; 255-264


    Erscheinungsdatum :

    2016-08-05


    Format / Umfang :

    10 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Repairing Occluded Data for a Mach 0.6 Jet via Data Fusion

    Ruscher, Christopher J | Online Contents | 2016


    Repairing Occluded Data for a Mach 0.6 Jet via Data Fusion

    Ruscher, Christopher J | Online Contents | 2017


    Occluded Fronts

    NTIS | 1994


    Occluded sleeve assemblies

    MORRIS MICHAEL ABRAHAM | Europäisches Patentamt | 2020

    Freier Zugriff

    Recognising occluded speech

    Cooke, M. / Morris, A. / Green, P. | British Library Conference Proceedings | 1996