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Using Opensource Software Tools for Data Analysis in High Intensity Shock Calibration of Accelerometers

Th. Bruns, H. Volker, S. Eichstädt
  • Abstract:
    This paper describes the concept and implementation of a model based data analysis of primary shock calibration. The concept follows to a large extent the scheme of ISO 16063-43. In addition, it uses classical statistics to combine a number of measurements. The implementation is programmed in Python, i.e. using open source software, in particular a new tool box for the analysis of dynamic measurements, PyDynamic, which features the integrated handling of uncertainties in terms of covariances.
  • Keywords:
    shock calibration, parameter estimation, PyDynamic, Scientific Python
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  • DOI:
    _unreg_tc22-2017.007

Event details:

  • IMEKO TC:
    TC22
  • Event name:
    TC22 Conference 2017 - Measurement facing new challenges!
  • Title:

    4th Conference on Vibration Measurement (together with 23rd TC3 Conference on the Measurement of Force, Mass and Torque and 13th TC5 Conference on the Measurement of Hardness)

  • Place:
    Helsinki, FINLAND
  • Time:
    30 May 2017 - 01 June 2017