Laser Doppler vibration signal processing based on wavelet denoising

TAN Yuan; GAN Xuehui; ZHANG Dongjian; LIU Xiangyu; LIAO He

doi:10.7510/jgjs.issn.1001-3806.2022.01.014

LASER TECHNOLOGY > 2022 > 46(1): 129-133. > DOI: 10.7510/jgjs.issn.1001-3806.2022.01.014

TAN Yuan, GAN Xuehui, ZHANG Dongjian, LIU Xiangyu, LIAO He. Laser Doppler vibration signal processing based on wavelet denoising[J]. LASER TECHNOLOGY, 2022, 46(1): 129-133. DOI: 10.7510/jgjs.issn.1001-3806.2022.01.014

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Laser Doppler vibration signal processing based on wavelet denoising

1.
Shanghai Collaborative Innovation Center for High Performance Fiber Composites, Shanghai 201620, China
2.
College of Mechanical Engineering, Donghua University, Shanghai 201620, China

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Received Date: January 13, 2021
Revised Date: February 23, 2021
Published Date: January 24, 2022

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Abstract

Abstract

In order to reduce the interference of noise in laser Doppler vibration signal, a laser Doppler vibration signal processing method based on improved wavelet de-noising was proposed. The scale was introduced into the threshold function, and a new evaluation index was established to select the optimal decomposition level. The improved algorithm was used to process the vibration signal. The improved algorithm and the original algorithm were adopted for processing the vibration signal. The simulation analysis and experimental verification were then carried out, and the vibration data before and after processing were obtained. The results indicate that the signal-to-noise ratio of simulated signals processed by the improved algorithm is 19.4% higher than that of the original soft and hard threshold algorithm. The measured tuning fork vibration frequency is 515Hz, which is consistent with the actual tuning fork frequency. This result is helpful to reduce the influence of noise in the laser Doppler vibration signal and obtain the vibration state.
- laser technique,
- signal processing,
- wavelet threshold de-noising,
- evaluating index

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References

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