Robust and exploratory data analysis techniques for modelling materials and process variables in welding

Abstract

The modelling and quantification of materials data using numerically optimised mathematical functions is an important and widespread practice. In the present paper the development of robust and exploratory data analysis strategies, based on exploratory data analysis procedures and robust statistics, is described. Application of this new PC based data analysis system to two sets of established data which relate materials information to process variables demonstrates the advantages of a comprehensive and robust approach to analysis. The advantages of techniques that use both ‘degree off it’ and also predictive statistical criteria for mathematical/statistical models are described.

MST/1945