8 research outputs found

    Effect of vibration frequency and lighting quality on quantitative indicators of defects identified on the surface of rolled metal with the application of deep neuron networks

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    The system of technical diagnostics of technological defects in the surface of sheet metal-roll based on deep neuron networks was tested. The dependence of geometrical parameters in diagnosing technological defects was established in terms of the magnitude of illumination of the surface and the frequency of vibrations. It has been shown that the main contribution to the result of the recognition of lightness on the surface may be the value of illumination. Vibrations in the extended range of frequencies and amplitudes are less influenced on the values of identified geometrical parameters of defect
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