Evaluation of interval regression analysis for uncertain resistance spot welding quality data

Abstract

ABSTRACTThis article presents an interval regression analysis method to model uncertain resistance spot welding (RSW) quality data. The goal of this approach is to support making decisions using the RSW quality data (e.g. determining welding conditions on a combination of materials). The RSW data include various welding conditions where each welding condition represents material characteristics and welding process parameters associated with uncertain welding quality. Our experiments reveal that interval regression analysis is capable of mapping welding conditions to their uncertain welding quality. Due to its high uncertainty in the RSW quality data, the interval regression models are unable to provide high fitness measure. However, these models provide advantages, including the capability of providing valuable insights to analyse the uncertainty and support making decisions.