This paper briefly describes the conceptual direction of the application of computer vision (CV) methods that involve controlling the morphology of hydrogenated wear particles (WPs). During long-term operation, in the surface and subsurface layers of the materials of parts in the tribo-joint, changes in the micromechanisms of fracture occur, which change the morphology of WPs. It has been shown that the developed computer program (CP) can be used to monitor the fractography of the surface of wear particles, and, accordingly, it is possible to control changes in the surface morphology. Therefore, it is possible to predict the operational stability and durability of the tribo-joint. A conceptual scheme for determining the performance of a tribotechnical assembly depending on the determined parameters of WPs is presented. The modes marked on it, including normal operation, transient, run-in, and catastrophic failure, can be evaluated by robotics approaches.
1 January 2018 in European Journal of Service Management
The article concerns the recognition of the impact of the COVID-19 pandemic, transport accessibility, and accommodation availability on the energy intensity of domestic travel by tourists using public transport in spatial and dynamic relations. The article formulated five research questions: (1) Does the improvement of transport accessibility reduce the energy intensity of public tourist transport? (2) Does the improvement of accommodation availability affect the reduction of the energy intensity of domestic tourist trips of Polish residents? (3) Has COVID-19 significantly changed the energy intensity of public tourist transport? (4) Are there any spatial effects of energy intensity of domestic tourist trips of Polish inhabitants resulting from the flow of tourists between regions (voivodeships) of Poland? (5) What would be the path of energy intensity patterns of public tourist transport if fortuitous events did not occur? The study covered 16 Polish voivodeships in 2017–2021. A comprehensive approach was used, combining exploratory analysis of spatial data with regional econometrics, spatial statistics, and spatial econometrics (gravitational model of spatial convergence of energy intensity of public transport of tourists). It has been verified that the energy intensity of domestic tourist travel by public transport is the most sensitive to the effects of the COVID-19 pandemic and the most flexible to changes in transport accessibility. It is less sensitive to changes in accommodation availability. The occurrence of spatial convergence, i.e., the blurring of differences in energy intensity patterns between the analyzed voivodeships, was also identified. An increase in energy intensity in voivodeships defined as neighboring voivodeships by 1% will result in an increase in energy intensity in the i-th voivodeship by 0.2688% on average, which results from the spatial effects of changes in mobility and tourist flows (tourism). Consumption patterns shaped in previous periods also have a significant impact on energy intensity.