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    Wyświetlanie 1-3 z 3
    Tytuł:
    3D-scanning system for railway current collector contact strips
    Autorzy:
    Judek, S.
    Jarzębowicz, L.
    Powiązania:
    https://bibliotekanauki.pl/articles/97373.pdf
    Data publikacji:
    2013
    Wydawca:
    Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
    Tematy:
    3D machine vision
    current collector
    railway safety
    shape measurement
    measurement by laser beam
    Opis:
    Undisturbed collection of current from a contact wire of the catenary constitutes one of the basic elements in reliable operation of electrified rail transport, particularly when vehicles move at high speed. Quality of current collection is influenced by the construction of catenary and current collectors, as well as by the technical condition and regulation of these two elements. Total contact force of a current collector head on contact line and the condition of contact strip surface determine the quality of the contact between a current collector and contact line. This paper presents an innovative stand for diagnosing contact strips on current collectors with the use of 3D imaging technique. The stand has been tested in laboratory and during trial exploitation on a railway line. Implementation potential of the proposed method has been confirmed.
    Źródło:
    Computer Applications in Electrical Engineering; 2013, 11; 328-335
    1508-4248
    Pojawia się w:
    Computer Applications in Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Wear estimation of current collector contact strips by analysis of a 3D scanning results
    Autorzy:
    Jarzębowicz, L.
    Judek, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/97590.pdf
    Data publikacji:
    2013
    Wydawca:
    Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
    Tematy:
    3D machine vision
    current collector
    railway safety
    shape measurement
    measurement by laser beam
    Opis:
    The technical condition of current collector contact strips is very important when operational reliability of railway transportation is considered. The authors proposed a novel measurement system based on a 3D camera to register the shape and dimensions of the current collector contact strips surface. The system was installed above the railway track for tests in target ambient. During the trial operation a few dozen of contact strips 3D-profiles were recorded for the locomotives which passed the test point. The collected results vary widely, particularly with regard to the position and tilt of the obtained profiles. This variety makes the surface analysis more complex. Therefore, an automatic method for normalization of the registered profiles was introduced. Standardized profiles are compared with the pattern of a new contact strip in order to estimate their wear. Summary of scanning and analysis results confirm the possibility of commercial use of the introduced system.
    Źródło:
    Computer Applications in Electrical Engineering; 2013, 11; 336-344
    1508-4248
    Pojawia się w:
    Computer Applications in Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Neural network model for phase-height relationship of each image pixel in 3D shape measurement by machine vision
    Autorzy:
    Chung, B
    Powiązania:
    https://bibliotekanauki.pl/articles/173298.pdf
    Data publikacji:
    2014
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    machine vision
    shape measurement
    fringe pattern projection
    phase-height relationship
    neural network
    Opis:
    In a three-dimensional measurement system based on a digital light processing projector and a camera, a height estimating function is very important. Sinusoidal fringe patterns of the projector are projected onto the object, and the phase of the measuring point is calculated from the camera image. Then, the height of the measuring point is inferred by the phase. The phase-to-height relationship is unique at each image point. However it is nonlinearly different according to the image coordinates. It is also difficult to obtain the geometrical model because of lens distortion. Even though some studies have been performed on neural network models to find the height from the phase and the related coordinates, the results are not good because of the complex relationship. Therefore, this paper proposes a hybrid method that combines a geometric analysis and a neural network model. The proposed method first finds the phase-to-height relationship from a geometric analysis for each image pixel, and then uses a neural network model to find the related parameters for the relationship. The experimental results show that the proposed method is superior to previous neural network methods.
    Źródło:
    Optica Applicata; 2014, 44, 4; 587-599
    0078-5466
    1899-7015
    Pojawia się w:
    Optica Applicata
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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