Model-Based Tampering for Improved Process Performance—An Application to Grinding of Shafts
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This paper presents the model-based tampering (MBT) methodology to address performance degradation in complex nonlinear processes. MBT involves characterizing the dynamics of a process through experiments to derive nonlinear stochastic differential equation (n-SDE) models that can accurately and compactly represent a process, and using these models to dynamically compensate for the effects of process degradation on the performance. This research has yielded a new method to derive n-SDE models of complex processes through a signal-based reconstruction of Fokker-Planck equations. MBT was applied to control surface finish during cylindrical grinding of shafts of air bearings used in aircraft environmental control systems (ECS) - a core competency of Honeywell. It has been shown that n-SDE models help capture patterns in process outputs that cannot be captured using any simpler models, and that MBT reduces the surface finish variation by 62% over the current industry practice.
author list (cited authors)
Palanna, R., Bukkapatnam, S., & Settles, F. S.