A data fusion control-based broad-band and high-dynamic excitation generation method for calibrating the low-frequency linear vibration sensors

Abstract

The low-frequency vibration sensors are widely used for monitoring vibration in various engineering, and their sensitivity must be calibrated in order to ensure monitoring performance. Currently, the linear shaker is usually applied to provide an excitation for calibrating the sensors. However, this calibration process has the disadvantages of narrow low-frequency range, low signal-to-noise ratio (SNR), and high total harmonic distortion, which severely limits the improvement of calibration ability. In this study, a data fusion control-based broad-band and high-dynamic excitation generation method was proposed, which provides the linear excitation with broad-band high-dynamic for the sensors to achieve high-performance calibration. The simulations demonstrate that the amplitude attenuation and noises can be effectively eliminated in the range of DC (quasi-static)-150 Hz. The comparison experiments with the shaker show that the proposed method has the ability to generate high-dynamic and low-distortion excitation acceleration in 0.01–5 Hz and improve the SNR 40 dB of the excitation. Moreover, the low SNR of the sensor output signal is also well suppressed.