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EN
Vehicles with cold storage chambers realize the transport of fast spoil articles. The cooling system of such chamber is its critical subsystem, the essential component of which is a cooling aggregate driven by vehicle combustion engine via belt transmission. The main assembly of the analysed aggregate was the axial five-piston compressor. Small aluminum pistons were led in cylinders in fixed head made of aluminum alloy. Such pistons were driven through steel tappets, mating through their spherical surfaces with spherical seats made in small pistons. Through their front surfaces, placed opposite to the spherical surfaces, the spatial disc cam made of aluminum alloy drove small pistons. The cam was mounted on the steel shaft. The co-operation of described parts was in presence of refrigerant oil. The abrasive and fatigue wear of elements occurred. Because of long-term utilizing of the aggregate the damage of radial sealing ring occurred. Then, external impurities of high hardness got into the contact zone between the mating surfaces. The main aim of the study was to analyse consequences of such fact. The failure was noticed in the form of wear of disc cam, front surfaces of tappets, and the plastic deformation in the spherical surfaces of the seats. Then, due to deformation and the displacements of the rotating shaft, wear of the side surface of disc cam during contacts with small pistons surfaces took place. Moreover, we noticed wear of the side surfaces of the pistons and the cylinders mating with them in the fixed head. In the article, we present figures of damaged surfaces of elements and results of the SEM analysis of spherical surfaces of tappets. The material transfer occurred between the spherical surfaces of tappets and their seats.
PL
Przedstawiono wyniki badań kilkudziesięciu cech stosowanych dla rozróżniania klas badanych obrazów typu teksturowego. Uwzględniono cechy wyznaczane na podstawie takich charakterystyk jak: histogram, macierz gradientu, macierz przejść tonalnych, macierz długości pasm oraz model autoregresji. W szczególności badano wrażliwość poszczególnych cech na zmiany: jasności, kontrastu i rozmycia obrazów oraz uporządkowania struktury. Dokonano selekcji najlepszych cech dyskryminacyjnych.
EN
The paper presents the results of investigation of many image features commonly used in discrimination of texture image classes. The features calculated from: histogram, gradient matrix, co-occurrence matrix, run-length matrix and autoregression model were taken into consideration. The sensivity of these features on the changes of brightness, contrast, blurring and structure arrangement were investigated and the best discriminators were selected.
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