A relatively new area of research in the field of statistical process control has been named profile monitoring. It includes a collection of methods and techniques used to check the stability of a functional relationship over time. This chapter shows how this approach can be usefully considered as a viable solution to form error monitoring when geometric tolerances are of interest. In this case, quality monitoring consists in detecting deviations of the shape from its nominal or incontrol state. This task is accomplished by firstly modeling the functional relationship representing the manufactured shape and then checking whether or not the estimated model is stable over time. The goal of this chapter is to introduce profile monitoring, show how it works, and then illustrate how this approach can be effectively used for quality control of geometric form errors.
Model-based Approaches for Quality Monitoring of Geometric Tolerances
PACELLA, Massimo
2010-01-01
Abstract
A relatively new area of research in the field of statistical process control has been named profile monitoring. It includes a collection of methods and techniques used to check the stability of a functional relationship over time. This chapter shows how this approach can be usefully considered as a viable solution to form error monitoring when geometric tolerances are of interest. In this case, quality monitoring consists in detecting deviations of the shape from its nominal or incontrol state. This task is accomplished by firstly modeling the functional relationship representing the manufactured shape and then checking whether or not the estimated model is stable over time. The goal of this chapter is to introduce profile monitoring, show how it works, and then illustrate how this approach can be effectively used for quality control of geometric form errors.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
