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Full-Text Articles in Mining Engineering
A Comparison Of Multiple Machine Learning Algorithms To Predict Whole-Body Vibration Exposure Of Dumper Operators In Iron Ore Mines In India, Rahul Upadhyay, Amrites Senapati, Ashis Bhattacherjee, Aditya Kumar Patra, Snehamoy Chatterjee
A Comparison Of Multiple Machine Learning Algorithms To Predict Whole-Body Vibration Exposure Of Dumper Operators In Iron Ore Mines In India, Rahul Upadhyay, Amrites Senapati, Ashis Bhattacherjee, Aditya Kumar Patra, Snehamoy Chatterjee
Michigan Tech Publications
Background: This study deals with some factors that influence the exposure of whole-body vibration (WBV) of dumper operators in surface mines. The study also highlights the approach to improve the multivariate linear analysis outcomes when collinearity exists between certain factor pairs.
Material and Methods: A total number of 130 vibration readings was taken from two adjacent surface iron ore mines. The frequency-weighted RMS acceleration was used for the WBV exposure assessment of the dumper operators. The factors considered in this study are age, weight, seat backrest height, awkward posture, the machine age, load tonnage, dumper speed and haul …