This paper presents implementation results of the multirate estimation scheme, proposed by Lee (Lee, C.W., 2007, “Multirate Estimation for the Machining Process under Multirate Noise,” Proceedings of the 2007 ASME IMECE, November 11–15, 2007, Seattle, WA), on the cylindrical plunge grinding process. The multirate scheme is an efficient tool for integrating real-time sensor signals with postprocess inspection data for estimating the immeasurable variables. In order to accomplish this goal, process models for grinding power, surface roughness and wheel wear are developed using experimental data. Case studies are performed on simultaneous state-parameter estimation for actual grinding batches after the multirate observers are built based on the process models. Results from case studies validate the applicability of the proposed scheme to challenging estimation tasks in the manufacturing industry that cannot be undertaken by traditional approaches.

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