Abstract：A novel approach was proposed for calibration of accelerometers by model-based parameter identification, aimed for the problem that mostly used method for accelerometers calibration cant satisfy requirements for dynamic mechanical quantity in reality. The model consisted of a linear, second-order differential equation with unknown coefficients. It was proposed to estimate these model parameters from primary vibration calibration, and an estimation procedure based on linear least-squares was presented. The uncertainties associated with the estimated results were determined utilizing a Monte Carlo simulation technique. The model obtained was used to predict the accelerometers behavior for shock acceleration, measured and predicted results were consistent with difference below 1%, which confirmed the validity of the method.
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2020, Vol. 41 
