Using Opensource Software Tools for Data Analysis in High Intensity Shock Calibration of Accelerometers |
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| 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
- Download:
- IMEKO-TC22-2017-007.pdf
- DOI:
- -
- 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