Physics-of-Failure based Model for Industrial Robot Reliability Prediction

Abstract

Millions of industrial robots are being used around the world for diversified applications, like material handling, machine tending, spot-welding, arc-welding and so on. The reliability and quality of industrial robots is becoming more and more highlighted. Over decades, many studies have appeared to address this problem. In this work, a Physics-of-Failure (PoF) based reliability prediction model of industrial robot is initiated. By leveraging the comprehensive knowledge and understanding of the processes and the mechanisms that induce failures quantitatively formulate the contributions of each component and their subcomponents in terms of design parameters, working loads and environmental conditions, thereof enables to predict the reliability of the overall industrial robot.