A regression model for prediction of idler rotational resistance on belt conveyor

This paper presents a regression model for prediction of idler rotational resistance on belt conveyor. The advantage of the regression model is that it is created according to the real experimental measurement. Besides, the predicted model corresponds with real operational parameters, such as radial force, rotational speed and measurements, conducted via using a laboratory test facility; several criteria have been used to verify the presented regression model. Finally, by analyzing the regression model combined with influence of radical force and rotational resistance on idler rotational resistance, this paper presents an operable control ideal to achieve energy-saving.