Kalman Filtering for Manufacturing Processes

  title={Kalman Filtering for Manufacturing Processes},
  author={Thomas R. Oakes and Lie Tang and Robert G. Landers and Sivasubramanya Nadar Balakrishnan},
where xk is the measurement at iteration k, x is the measurement average, and N is the number of samples. Noise due to the manufacturing process itself is often greater in magnitude than the electrical noise. Examples of process noise include: (1) high frequency cyclic variations due to tool eccentricity in a turning process, (2) low frequency variations due to discrete solidification of deposited material in Laser Metal Deposition (LMD) processes, and (3) chaotic mixing of materials in… CONTINUE READING

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