Vibration-based hypervelocity impact identification and localization

Jiao BAO; Lifu LIU; Jiuwen CAO

doi:10.1631/FITEE.2000483

Your Location：

Home >

Browse articles >

Vibration-based hypervelocity impact identification and localization

Special Feature on Application of Artificial Intelligence in Space Environment and Spacecraft | Updated：2022-05-19

- Vibration-based hypervelocity impact identification and localization
- 基于振动的超高速碰撞识别与定位
- Frontiers of Information Technology & Electronic Engineering Vol. 23, Issue 4, Pages: 515-529(2022)
- Affiliations：
  
  1.Department of Computer Engineering, Chengdu Technological University, Chengdu611730, China
  2.Machine Learning and I-health International Cooperation Base of Zhejiang Province, Hangzhou Dianzi University, Hangzhou310018, China
  3.Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou310018, China
- Author bio：
  
  ‡Corresponding author
- Funds：
- DOI：10.1631/FITEE.2000483
  CLC： TP391.4
- Received：16 September 2020，
  
  Accepted：09 April 2021，
  
  Published Online：04 March 2022，
  
  Published：2022-04
- Accepted：
Scan QR Code
Jiao BAO, Lifu LIU, Jiuwen CAO. Vibration-based hypervelocity impact identification and localization[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(4): 515-529.
DOI：

Jiao BAO, Lifu LIU, Jiuwen CAO. Vibration-based hypervelocity impact identification and localization[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(4): 515-529. DOI： 10.1631/FITEE.2000483.

摘要

超高速碰撞（HVI）振动源识别与定位在载人航天器防护、机床碰撞损伤检测与定位等领域有着广泛应用。本文研究了基于同步压缩变换（SST）和纹理颜色分布（TCD）的冲击图像HVI源识别和定位算法。提出基于SST和TCD图像特征融合的HVI图像表示方法。为实现更精确的检测和定位，通过关联和评估样本标签与特征维度之间的相似性，获得最优选择性特征OS

SST+TCD

。将常用的分类和回归模型通过投票和堆叠融合，实现最终的检测和定位。基于所采集的3种高速子弹撞击铝合金板产生的HVI数据，验证了所提算法的有效性。实验结果表明本文提出的HVI识别与定位算法具有更高精准度。最后基于传感器分布，提出一种精确的四圆质心定位算法用于HVI源坐标定位。

Abstract

Hypervelocity impact (HVI) vibration source identification and localization have found wide applications in many fields

such as manned spacecraft protection and machine tool collision damage detection and localization. In this paper

we study the synchrosqueezed transform (SST) algorithm and the texture color distribution (TCD) based HVI source identification and localization using impact images. The extracted SST and TCD image features are fused for HVI image representation. To achieve more accurate detection and localization

the optimal selective stitching features

are obtained by correlating and evaluating the similarity between the sample label and each dimension of the features. Popular conventional classification and regression models are merged by voting and stacking to achieve the final detection and localization. To demonstrate the effectiveness of the proposed algorithm

the HVI data recorded from three kinds of high-speed bullet striking on an aluminum alloy plate is used for experimentation. The experimental results show that the proposed HVI identification and localization algorithm is more accurate than other algorithms. Finally

based on sensor distribution

an accurate four-circle centroid localization algorithm is developed for HVI source coordinate localization.

关键词

Keywords

references

Almeida LB , 1994 . The fractional Fourier transform and time-frequency representations . IEEE Trans Signal Process , 42 ( 11 ): 3084 - 3091 . doi: 10.1109/78.330368 http://doi.org/10.1109/78.330368

Anderson JLB , Schultz PH , 2006 . Flow-field center migration during vertical and oblique impacts . Int J Impact Eng , 33 ( 1-12 ): 35 - 44 . doi: 10.1016/j.ijimpeng.2006.09.022 http://doi.org/10.1016/j.ijimpeng.2006.09.022

Auger F , Flandrin P , 1995 . Improving the readability of time-frequency and time-scale representations by the reassignment method . IEEE Trans Signal Process , 43 ( 5 ): 1068 - 1089 . doi: 10.1109/78.382394 http://doi.org/10.1109/78.382394

Bai X , Tao R , Liu LJ , et al ., 2012 . Autofocusing of SAR images using STFRFT-based preprocessing . Electron Lett , 48 ( 25 ): 1622 - 1624 . doi: 10.1049/el.2012.3169 http://doi.org/10.1049/el.2012.3169

Cao JW , Wang TL , Shang LM , et al ., 2018 . An intelligent propagation distance estimation algorithm based on fundamental frequency energy distribution for periodic vibration localization . J Franklin Inst , 355 ( 4 ): 1539 - 1558 . doi: 10.1016/j.jfranklin.2017.02.011 http://doi.org/10.1016/j.jfranklin.2017.02.011

Cao JW , Zhang K , Yong HW , et al ., 2019 . Extreme learning machine with affine transformation inputs in an activation function . IEEE Trans Neur Netw Learn Syst , 30 ( 7 ): 2093 - 2107 . doi: 10.1109/TNNLS.2018.2877468 http://doi.org/10.1109/TNNLS.2018.2877468

Cao JW , Dai HZ , Lei BY , et al ., 2020 . Maximum correntropy criterion-based hierarchical one-class classification . IEEE Trans Neur Netw Learn Syst , 7 : 1 - 7 . doi: 10.1109/TNNLS.2020.3015356 http://doi.org/10.1109/TNNLS.2020.3015356

Chan HL , Huang HH , Lin JL , 2001 . Time-frequency analysis of heart rate variability during transient segments . Ann Biomed Eng , 29 ( 11 ): 983 - 996 . doi: 10.1114/1.1415525 http://doi.org/10.1114/1.1415525

Cohen L , 2013 . leID1. Time-frequency analysis: theory and applications . J Acoust Soc Am , 134 ( 5 ): 4002 . doi: 10.1121/1.4830599 http://doi.org/10.1121/1.4830599

Daubechies I , 1990 . The wavelet transform, time-frequency localization and signal analysis . IEEE Trans Inform Theory , 36 ( 5 ): 961 - 1005 . doi: 10.1109/18.57199 http://doi.org/10.1109/18.57199

Daubechies I , Maes S , 1996 . A nonlinear squeezing of the continuous wavelet transform based on auditory nerve models . In: Aldroubi A , Unser M (Eds.), Wavelets in Medicine and Biology . CRC-Press , Boca Raton, USA .

Daubechies I , Lu JF , Wu HT , 2011 . Synchrosqueezed wavelet transforms: an empirical mode decomposition-like tool . Appl Comput Harmon Anal , 30 ( 2 ): 243 - 261 . doi: 10.1016/j.acha.2010.08.002 http://doi.org/10.1016/j.acha.2010.08.002

Erickson AS , 2014 . China's space development history: a comparison of the rocket and satellite sectors . Acta Astronaut , 103 : 142 - 167 . doi: 10.1016/j.actaastro.2014.06.023 http://doi.org/10.1016/j.actaastro.2014.06.023

Flandrin P , Amin M , McLaughlin S , et al ., 2013 . Time-frequency analysis and applications . IEEE Signal Process Mag , 30 ( 6 ): 19 - 150 . doi: 10.1109/MSP.2013.2270229 http://doi.org/10.1109/MSP.2013.2270229

Franco C , Guméry PY , Vuillerme N , et al ., 2012 . Synchrosqueezing to investigate cardio-respiratory interactions within simulated volumetric signals . Proc 20 th European Signal Processing Conf , p. 939 - 943 .

Ghosh SK , Tripathy RK , Ponnalagu RN , et al ., 2019 . Automated detection of heart valve disorders from the PCG signal using time-frequency magnitude and phase features . IEEE Sens Lett , 3 ( 12 ): 7002604 . doi: 10.1109/LSENS.2019.2949170 http://doi.org/10.1109/LSENS.2019.2949170

Huang XG , Yin C , Huang J , et al ., 2016 . Hypervelocity impact of TiB 2 -based composites as front bumpers for space shield applications . Mater Des , 97 : 473 - 482 . doi: 10.1016/j.matdes.2016.02.126 http://doi.org/10.1016/j.matdes.2016.02.126

Huang XG , Yin C , Ru HQ , et al ., 2020 . Hypervelocity impact damage behavior of B 4 C/Al composite for MMOD shielding application . Mater Des , 186 : 108323 . doi: 10.1016/j.matdes.2019.108323 http://doi.org/10.1016/j.matdes.2019.108323

Liou JC , Johnson NL , 2006 . Risks in space from orbiting debris . Science , 311 ( 5759 ): 340 - 341 . doi: 10.1126/science.1121337 http://doi.org/10.1126/science.1121337

Liu LF , Cao JW , Huang XG , 2019 . High speed collision localization based on surface vibration processing . Proc 12 th Int Symp on Computational Intelligence and Design , p. 35 - 38 . doi: 10.1109/ISCID.2019.10091 http://doi.org/10.1109/ISCID.2019.10091

Mallat SG , 1989 . Theory for multiresolution signal decomposition: the wavelet representation . IEEE Trans Patt Anal Mach Intell , 11 ( 7 ): 674 - 693 . doi: 10.1109/34.192463 http://doi.org/10.1109/34.192463

Mamli S , Kalbkhani H , 2019 . Gray-level co-occurrence matrix of Fourier synchro-squeezed transform for epileptic seizure detection . Biocybern Biomed Eng , 39 ( 1 ): 87 - 99 . doi: 10.1016/j.bbe.2018.10.006 http://doi.org/10.1016/j.bbe.2018.10.006

Materka A , Strzelecki M , 1998 . Texture Analysis Methods—a Review. COST B11 Report . University of Lodz , Brussels, Belgium .

Millan RM , von Steiger R , Ariel M , 2019 . Small satellites for space science: a cospar scientific roadmap . Adv Space Res , 64 ( 8 ): 1466 - 1517 . doi: 10.1016/j.asr.2019.07.035 http://doi.org/10.1016/j.asr.2019.07.035

Mirzapour F , Ghassemian H , 2013 . Using GLCM and Gabor filters for classification of PAN images . 21 st Iranian Conf on Electrical Engineering , p. 1 - 6 .

Monti A , Medigue C , Mangin L , 2002 . Instantaneous parameter estimation in cardiovascular time series by harmonic and time-frequency analysis . IEEE Trans Biomed Eng , 49 ( 12 ): 1547 - 1556 . doi: 10.1109/TBME.2002.805478 http://doi.org/10.1109/TBME.2002.805478

Önsay T , Haddow AG , 1993 . Comparison of STFT, Gabor, and wavelet transforms in transient vibration analysis of mechanical systems . J Acoust Soc Am , 93 ( 4 ): 2290 . doi: 10.1121/1.406528 http://doi.org/10.1121/1.406528

Pierazzo E , Melosh HJ , 2000 . Hydrocode modeling of oblique impacts: the fate of the projectile . Meteorit Planet Sci , 35 ( 1 ): 117 - 130 . doi: 10.1111/j.1945-5100.2000.tb01979.x http://doi.org/10.1111/j.1945-5100.2000.tb01979.x

Qian SE , Chen DP , 1999 . Joint time-frequency analysis . IEEE Signal Process Mag , 16 ( 2 ): 52 - 67 . doi: 10.1109/79.752051 http://doi.org/10.1109/79.752051

Shang LM , Cao JW , Wang JZ , et al ., 2016 . Fundamental frequency energy distribution of periodic vibrations and their relation to distance . Proc IEEE 13 th Int Conf on Signal Processing , p. 96 - 101 . doi: 10.1109/ICSP.2016.7877804 http://doi.org/10.1109/ICSP.2016.7877804

Stankovic L , Stankovic S , Dakovic M , 2014 . From the STFT to the Wigner distribution . IEEE Signal Process Mag , 31 ( 3 ): 163 - 174 . doi: 10.1109/MSP.2014.2301791 http://doi.org/10.1109/MSP.2014.2301791

Tao R , Li YL , Wang Y , 2010 . Short-time fractional Fourier transform and its applications . IEEE Trans Signal Process , 58 ( 5 ): 2568 - 2580 . doi: 10.1109/TSP.2009.2028095 http://doi.org/10.1109/TSP.2009.2028095

Thakur G , Brevdo E , Fučkar NS , et al ., 2013 . The synchrosqueezing algorithm for time-varying spectral analysis: robustness properties and new paleoclimate applications . Signal Process , 93 ( 5 ): 1079 - 1094 . doi: 10.1016/j.sigpro.2012.11.029 http://doi.org/10.1016/j.sigpro.2012.11.029

Torrence C , Compo G , 1998 . A practical guide to wavelet analysis . Bull Amer Meteorol Soc , 79 ( 79 ): 61 - 78 .

Wang TL , Cao JW , Lai XP , et al ., 2020 . Hierarchical one-class classifier with within-class scatter-based autoencoders . IEEE Trans Neur Netw Learn Syst , 32 ( 8 ): 3770 - 3776 . doi: 10.1109/TNNLS.2020.3015860 http://doi.org/10.1109/TNNLS.2020.3015860

Wilson EK , 2019 . Space tourism moves closer to lift off . Engineering , 5 ( 5 ): 819 - 821 . doi: 10.1016/j.eng.2019.08.006 http://doi.org/10.1016/j.eng.2019.08.006

Witze A , 2018 . The quest to conquer Earth's space junk problem . Nature , 561 ( 7721 ): 24 - 26 . doi: 10.1038/D41586-018-06170-1 http://doi.org/10.1038/D41586-018-06170-1

Yang MQ , Kpalma K , Ronsin J , 2008 . A survey of shape feature extraction techniques . Patt Recogn , 15 ( 7 ): 43 - 90 .

Yin C , Xue T , Huang XG , et al ., 2019 . Research on damages evaluation method with multi-objective feature extraction optimization scheme for M/OD impact risk assessment . IEEE Access , 7 : 98530 - 98545 . doi: 10.1109/ACCESS.2019.2930114 http://doi.org/10.1109/ACCESS.2019.2930114

Zhou ZH , 2016 . Machine Learning . Tsinghua University Press , Beijing, China (in Chinese) .

Views

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

Ensemble-transfer-learning-based channel parameter prediction in asymmetric massive MIMO systems

Interactive image segmentation with a regression based ensemble learning paradigm

Related Author

Zunwen HE

Yue LI

Yan ZHANG

Wancheng ZHANG

Kaien ZHANG

Liu GUO

Haiming WANG

Jin ZHANG

Related Institution

School of Information and Electronics, Beijing Institute of Technology

State Key Laboratory of Millimeter Waves, Southeast University

School of Information Science and Engineering, Central South University

College of Computer and Communication, Hunan University of Technology

College of Mathematics and Computer Science, Hunan Normal University

Chat

Address：Zhejiang University Press, 148 Tianmushan Road, Hangzhou, China Postal code：310028
Tel：+86-571-88273162 Email：fitee@zju.edu.cn
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰