37 A Method of Vacuum Leak Detecting Based on Acoustic Emission …
427
2. The frequency band of background noise caused by vacuum pump operation is
less than 20 kHz, which can be removed by high pass filtering in the analysis of
leak signal. By analyzing ASL, Energy and RMS parameters of the leak signal,
different leak holes can be identified and the leak rate can be evaluated.
Acknowledgements This research was supported by National Nature Science Fund of China (No.
61903040), the Open Foundation of State Key Laboratory of Precision Measurement Technology
and Instrument (Tianjin University) (No. pilab1706).
References
1. A.J. Hyde, A. Davis, E. Christiansen, International space station hand rail and extravehicular
activity tool impact damage. Orb. Debris Quart. News 12(3), 3–6 (2008)
2. L. Qi, Z. Zeng, L. Sun et al., An impact location algorithm for spacecraft stiffened structure
based on posterior possibility correlation. Sensors 20(2), 368 (2020)
3. C. Clark, L. Labonte, J. Castro, et al., Wireless leak detection using airborne ultrasonics and
a fast-bayesian tree search algorithm with technology demonstration on the ISS, in IEEE
International Conference on Wireless for Space and Extreme Environments (WiSEE), Orlando,
FL, USA (2015)
4. L. Qi, Z. Zeng, Y. Zhang et al., Research on leakage location of spacecraft in orbit based on
frequency weighting matrix beamforming algorithm by lamb waves. Appl. Sci. 10(4), 1201
(2020)
5. K.M. Holford, M.J. Eaton, J.J. Hensman, et al., A new methodology for automating acoustic
emission detection of metallic fatigue fractures in highly demanding aerospace environments:
an overview. Prog. Aerosp. Sci. (2017)
6. D. Ozevin, J. Harding, Novel leak localization in pressurized pipeline network using acoustic
emission and geometric connectivity. Int. J. Press. Vessels Pip. 92(2), 63–69 (2012)
7. O. Hunaidi, W.T. Chu, Acoustical characteristics of leak signals in plastic water distribution
pipes. Appl. Acoust. V58, 235–254 (1999)
8. J. Jingpin, H. Cunfu, W. Bin, et al., A new acoustic emission source location technique based
on wavelet transform and mode analysis. Chin. J. Sci. Instrum. 26(5), 482–485 (2005)
9. V.S. Avramchuk, A.A. Yefremov, et al., New calculation method of correlation function applied
to leak localization, in 2014 International Conference on Mechanical Engineering, Automation
and Control Systems (2014), pp. 1–4
10. A. Nilsson, B. Liu, Vibro-acoustics vol. I and II. Chin. J. Acoust. 2014(3), 335–336
11. L. Lin, L. Xiao-Dong, Assessment of fine-scale turbulence noise source models for jet noise
prediction. J. Eng. Thermophys. 30(4), 588–590 (2009)
427
2. The frequency band of background noise caused by vacuum pump operation is
less than 20 kHz, which can be removed by high pass filtering in the analysis of
leak signal. By analyzing ASL, Energy and RMS parameters of the leak signal,
different leak holes can be identified and the leak rate can be evaluated.
Acknowledgements This research was supported by National Nature Science Fund of China (No.
61903040), the Open Foundation of State Key Laboratory of Precision Measurement Technology
and Instrument (Tianjin University) (No. pilab1706).
References
1. A.J. Hyde, A. Davis, E. Christiansen, International space station hand rail and extravehicular
activity tool impact damage. Orb. Debris Quart. News 12(3), 3–6 (2008)
2. L. Qi, Z. Zeng, L. Sun et al., An impact location algorithm for spacecraft stiffened structure
based on posterior possibility correlation. Sensors 20(2), 368 (2020)
3. C. Clark, L. Labonte, J. Castro, et al., Wireless leak detection using airborne ultrasonics and
a fast-bayesian tree search algorithm with technology demonstration on the ISS, in IEEE
International Conference on Wireless for Space and Extreme Environments (WiSEE), Orlando,
FL, USA (2015)
4. L. Qi, Z. Zeng, Y. Zhang et al., Research on leakage location of spacecraft in orbit based on
frequency weighting matrix beamforming algorithm by lamb waves. Appl. Sci. 10(4), 1201
(2020)
5. K.M. Holford, M.J. Eaton, J.J. Hensman, et al., A new methodology for automating acoustic
emission detection of metallic fatigue fractures in highly demanding aerospace environments:
an overview. Prog. Aerosp. Sci. (2017)
6. D. Ozevin, J. Harding, Novel leak localization in pressurized pipeline network using acoustic
emission and geometric connectivity. Int. J. Press. Vessels Pip. 92(2), 63–69 (2012)
7. O. Hunaidi, W.T. Chu, Acoustical characteristics of leak signals in plastic water distribution
pipes. Appl. Acoust. V58, 235–254 (1999)
8. J. Jingpin, H. Cunfu, W. Bin, et al., A new acoustic emission source location technique based
on wavelet transform and mode analysis. Chin. J. Sci. Instrum. 26(5), 482–485 (2005)
9. V.S. Avramchuk, A.A. Yefremov, et al., New calculation method of correlation function applied
to leak localization, in 2014 International Conference on Mechanical Engineering, Automation
and Control Systems (2014), pp. 1–4
10. A. Nilsson, B. Liu, Vibro-acoustics vol. I and II. Chin. J. Acoust. 2014(3), 335–336
11. L. Lin, L. Xiao-Dong, Assessment of fine-scale turbulence noise source models for jet noise
prediction. J. Eng. Thermophys. 30(4), 588–590 (2009)