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

Download

IMEKO-TC22-2017-007.pdf

DOI

-

IMEKO TC

TC22 - Vibration Measurement

Back to the proceedings