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Wyszukujesz frazę "Yang, Z. J." wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
Surface probability model for estimation of size distribution on a conveyor belt
Autorzy:
Zhang, Z
Yang, J.
Dou, D.
Powiązania:
https://bibliotekanauki.pl/articles/109982.pdf
Data publikacji:
2014
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
size distribution
surface probability model
conveyor belt
particles
Opis:
Estimation of size distribution by image analysis is a key issue in mineral engineering. However, only the surface information of ore piles can be captured, which is a headache problem in this field while only a few researchers pay attention to this problem. A new surface probability model was proposed for estimation of size distribution on a conveyor belt based on the Chavez Model in this investigation. This model was tested and verified to have smaller errors in single size fraction but have bigger errors in multiple size fractions. Several error trends were found and a correction factor was introduced to correct the higher errors. A series of linear equations were developed to calculate this specific correction factor according to Dm (average particle size) and the height of pile. Therefore, empirical probability can be estimated by the specific correction factor and calculated probability, and the surface information of ore piles can be converted into the global information of piles.
Źródło:
Physicochemical Problems of Mineral Processing; 2014, 50, 2; 591-606
1643-1049
2084-4735
Pojawia się w:
Physicochemical Problems of Mineral Processing
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of large particle sizes using a machine vision system
Autorzy:
Zhang, Z.
Yang, J.
Su, X.
Ding, L.
Powiązania:
https://bibliotekanauki.pl/articles/109404.pdf
Data publikacji:
2013
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
machine vision
particle size distribution
equivalent ellipse
best-fit rectangle
representing analysis
Opis:
Many methods based on machine vision were used to estimate coarse particles size distribution in recent years, but comparison of accuracy parameters representing particle size has not been carried out and a related representing analysis has not been yet proposed. Nine parameters were investigated. The results indicated the minor axis of equivalent ellipse and breadth of the best-fit rectangle were the most suitable for representing particle size. The former accuracy ratio was 86.43% and the latter accuracy ratio was 85.39%, while the accuracy of other parameters was less than 70%. A related representing analysis was proposed to explain this phenomenon. This research is instructive and meaningful for the size distribution estimation by machine vision.
Źródło:
Physicochemical Problems of Mineral Processing; 2013, 49, 2; 397-405
1643-1049
2084-4735
Pojawia się w:
Physicochemical Problems of Mineral Processing
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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