Kalman Filtering for Manufacturing Processes

Abstract

Computer data. This chapter presented a methodology, based on stochastic process modeling and Kalman filtering, to filter manufacturing process measurements, which are known to be inherently noisy. Via simulation studies, the methodology was compared to low pass and Butterworth filters. The methodology was applied in a Friction Stir Welding (FSW) process to filter data.