A high-<i>g</i>shock tester with one-level velocity amplifier

Zhang, Xuefeng; Zhao, Yulong; Duan, Zhengyong; Li, Xiaobo

doi:10.1088/0957-0233/24/4/045901

Cited by 9 publications

(5 citation statements)

References 10 publications

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“…Driven by the technical demands of high-g shock tests and inspired by existing ideas, a compact high-g shock tester with a three-body vertically stacked shock amplifier was developed by the current authors. The experimental results confirmed that this design was successful [25][26][27] . However, a detailed study of the velocity amplification seems to have been deliberately ignored, most likely because the primary focus was on the shock acceleration pulse parameters.…”

supporting

confidence: 66%

Theoretical and experimental study of the “superelastic collision effects” used to excite high-g shock environment

Duan

Zeng

Tang

et al. 2023

Sci Rep

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The excitation technology for high-g-level shock environment experiments is currently a topic of interest, for which velocity amplification by collisions of vertically stacked bodies has been used to develop high-g shock tests with great success. This study investigated the superelastic collision effects generated during high-velocity one-dimensional three-body impacts. Theoretical formulae were derived in brief for an analytical investigation of the collisions. Four experiments were performed with different initial velocities obtained from free-falls from different heights. Velocity gains larger than 5 were obtained for the three-body collisions, and coefficients of restitution larger than 2.5 were observed for the second impact. The experimental results well verified the existence of superelastic collision effects in the one-dimensional three-body impacts.

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supporting

confidence: 66%

Theoretical and experimental study of the “superelastic collision effects” used to excite high-g shock environment

Duan

Zeng

Tang

et al. 2023

Sci Rep

Self Cite

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“…The first step towards building a deep learning model is to build a high-g shock test platform to generate the training data (shock signals) efficiently. There have been several types of shock test machines for generating high-g shocks [25]- [27]. Though these setups have respective advantage, such as generating higher g value, simple structure, and small size, they are too expensive and time-consuming to adapt to generate large scale data.…”

Section: A High-g Shock Test Systemmentioning

confidence: 99%

A Deep Learning Approach to Recover High-g Shock Signals From the Faulty Accelerometer

Wen

Yao

et al. 2020

IEEE Sensors J.

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A deep learning based approach is proposed to accurately recover shock signals measured from a damaged high-g accelerometer without modifying the hardware. We first conducted shock tests and collected a large dataset of shock signals with different levels of acceleration by using an efficient experimental apparatus. The training data is composed of a pair of signals simultaneously obtained from a faulty accelerometer and a high-end accelerometer (served as the ground truth). A customized autoencoder neural network is designed and trained on this dataset, aiming to map the faulty signals to their reference counterparts. Experimental results show that, with the help of deep learning, shock signals can be accurately recovered from the faulty measurements. Compared with conventional approaches that require diagnosing and replacing faulty parts, the proposed data-driven method demonstrates a highly promising solution that allows recovering corrupted signals without introducing extra work to upgrade the hardware at almost zero cost. The dataset and code of this work are made publicly available on GitHub at https://github.com/hope-yao/Sensor_Calibration.

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“…However, the maximum shock acceleration measured in these studies was only 1,000 G. For high-G accelerometer calibration, an enormous shock acceleration of at least tens of thousands of G is required to excite the accelerometer [3]. The ISO 16063-13 standard for high-G shock test or calibration methods is based on a device, such as a Hopkinson bar or air cannon, capable of producing a shock acceleration of 100 000 G or more [1]. A significant shock can introduce much noise into the LDV signal, making demodulation difficult and reducing measurement accuracy.…”

Section: Introductionmentioning

confidence: 99%

“…High-G accelerometers are widely used in fields such as weapons and ammunition because they can measure high shock signals [1][2][3]. To improve the measurement accuracy of high-G accelerometers, it is always necessary to calibrate them [4,5].…”

Section: Introductionmentioning

confidence: 99%

Reference velocity demodulation method for accelerometer shock testing based on enhanced CEEMD and threshold correction

Zhang,

Song

et al. 2023

Meas. Sci. Technol.

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High-G accelerometers are critical for measuring high shock signals and must be calibrated to improve measurement accuracy. A laser Doppler velocimeter (LDV) is required to calibrate a high-G accelerometer to provide a high-precision reference velocity. The LDV signal must be demodulated to obtain the velocity. However, the phase method is susceptible to noise interference, while the conventional periodic distribution method is challenging to demodulate and severely affected by signal oscillations. We propose a novel periodic distribution method based on enhanced complementary ensemble empirical mode decomposition (CEEMD) and threshold correction (PDECTC) to demodulate the LDV signal. First, the LDV signal is processed with CEEMD to obtain multiple intrinsic mode functions (IMFs) and the residual. Next, each IMF is partially zeroed to obtain the noise-reduced LDV signal. Then, the over-threshold peak of the noise-reduced LDV signal is calculated. Finally, the demodulated velocity of the LDV signal is obtained by correcting the noise-reduced LDV signal according to the over-threshold peak point and calculating all the zero points. Simulation and experimental results show that the proposed method outperforms the phase method based on enhanced CEEMD (PEC) and the periodic distribution method based on enhanced CEEMD (PDEC) and can significantly reduce noise interference. The results show that the proposed method can accurately demodulate the LDV signal to obtain a highly accurate reference velocity, improving the reliability of accelerometer shock testing.

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A high-gshock tester with one-level velocity amplifier

Cited by 9 publications

References 10 publications

Theoretical and experimental study of the “superelastic collision effects” used to excite high-g shock environment

Theoretical and experimental study of the “superelastic collision effects” used to excite high-g shock environment

A Deep Learning Approach to Recover High-g Shock Signals From the Faulty Accelerometer

Reference velocity demodulation method for accelerometer shock testing based on enhanced CEEMD and threshold correction

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