Abstract
The use of information technology in modern industry is becoming increasingly important to ensure the failure-free operation of devices. Innovatively, this article describes methods to predict belt flip over. The article describes the tested installation and the acquisition and processing of a unique data set gathered from hilly and very long belt conveyors. Values are predicted using novel analytical algorithms with a combination of machine learning algorithms. A simulation study is presented to demonstrate the effectiveness of the proposed method. The simulation results and case studies show that the proposed method generates accurate results and can be used to predict belt flip over for large-scale belt conveyors.
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