The article presents the detection of damage to rollers based on the transverse vibration signal measured on the conveyor belt. A solution was proposed for a wireless measuring device
that moves with the conveyor belt along of the route, which records the signal of transverse
vibrations of the belt. In the first place, the research was conducted in laboratory conditions,
where a roller with prepared damage was used. Subsequently, the process of validating the
adopted test procedure under real conditions was performed. The approach allowed to verify
the correctness of the adopted technical assumptions of the measuring device and to assess
the reliability of the acquired test results. In addition, an LSTM neural network algorithm
was proposed to automate the process of detecting anomalies of the recorded diagnostic
signal based on designated time series. The adopted detection algorithm has proven itself in
both laboratory and in-situ tests.
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Thermal Characterization of a Gas Foil Bearing—A Novel Method of Experimental Identification of the Temperature Field Based on Integrated Thermocouples Measurements Adam Martowicz, Paweł Zdziebko, Jakub Roemer, Grzegorz Żywica, Paweł Bagiński Sensors
Optimization of the Load Capacity System of Powered Roof Support: A Review Dawid Szurgacz, Beata Borska, Sergey Zhironkin, Ryszard Diederichs, Anthony Spearing Energies
Trends in the growth of aggregated measures of failures in a steel conveyor belts core Leszek Jurdziak, Ryszard Błażej, Aleksandra Rzeszowska, Agata Kirjanów-Błażej
Detection of a Rotating Conveyor Roller Casing Vibrations on a Laboratory Machine Leopold Hrabovský, Štěpán Pravda, Radim Šebesta, Eliška Nováková, Daniel Kurač Symmetry
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