TR2022-124

Temporal Super-resolution for Wire Position Estimation in Electric Discharge Machines


    •  Mansour, H., Boufounos, P.T., "Temporal Super-resolution for Wire Position Estimation in Electric Discharge Machines," Tech. Rep. TR2022-124, Mitsubishi Electric Research Laboratories, September 2022.
      BibTeX TR2022-124 PDF
      • @techreport{Mansour2022sep,
      • author = {Mansour, Hassan and Boufounos, Petros T.},
      • title = {Temporal Super-resolution for Wire Position Estimation in Electric Discharge Machines},
      • institution = {MERL website},
      • year = 2022,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2022-124}
      • }
  • MERL Contacts:
  • Research Areas:

    Computational Sensing, Optimization, Signal Processing

Abstract:

We present a technique for achieving ultra-high temporal super resolution of the position of the cutting wire in electric discharge machines from low frame rate video. Our approach models the video of the vibrating wire as a frequency sparse signal and formulates a joint-sparsity recovery problem to determine the vibration frequency as well as reconstruct the high frame rate video. The proposed method is capable of reconstructing the high frame rate video at 5000 x super resolution rate. We demonstrate the performance of our method using simulated data mimicking the acquisition setup and wire vibrations in realistic EDM settings.