Abstract
The seismic signals of two typical types of vehicle targets—wheeled vehicles and tracked ones—were collected in field test, and decomposed at multiple levels using wavelet packet transformation (WPT), which has a multiresolution feature, to obtain detailed energy distribution. A method for computing the energy entropy of the seismic signals from a vehicle target was derived on the concept of information entropy based on probability statistics. The energy entropies of the seismic signals from the two types of vehicles were then analyzed, and the results indicate that the energy entropy reflects the seismic signals of different types of vehicles: the energy entropies of the seismic signals of the wheeled vehicles were greater than that of the tracked vehicles. In conclusion, this paper proposes to use the energy entropy as a new characteristic quantity of seismic signals from vehicle targets for feature extraction, which may pave a new way for identification of seismic signals from different vehicles.
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References
Li, K.M., Zhang, Q., Luo, Y., Liang, B.S., Yang, X.Y.: Review of ground vehicles recognition. Acta Electronica Sinica. 42(3), 538–546 (2014)
Lan, J., Li, H., Zhou, Z.: A study on feature extraction and recognition of target seismic signals. J. Vib. Shock 2001(4): 44–46 + 99 (2001)
Zhang, Z., Liu, C., Liu, X., et al.: Analysis of milling vibration state based on the energy entropy of WPD. J. Mech. Eng. 54(21), 57–62 (2018)
Li, Y.M., Fu, S.C., Zhou, J.Y., Zong, K., Li, R., Wu, M.: Collapsing coal-rock identification based on wavelet packet entropy and manifold learning. J. China Coal Soc. 42, 585–593 (2017)
Yu, Y., Junsheng, C.: A roller bearing fault diagnosis method based on EMD energy entropy and ANN. J. Sound Vibr. 294(1–2), 269–277 (2006)
An, C.L., Gan, F.C., Luo, W., et al.: Method of speed-up turnout fault diagnosis using wavelet packet energy entropy. J. Railway Sci. Eng. 12(2), 260–274 (2015)
Acknowledgements
This work was supported by National Natural Science Foundation of China (61501468) and the Foundation of Science and Technology on Near-surface Detection Laboratory (TCGZ2017A004, 6142414180206).
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Ding, K., Li, X., Li, H., Ma, H., Fan, L., Qi, X. (2021). Wavelet Packet Energy Entropy Based Feature Analysis of Seismic Signals from Vehicle Targets. In: WU, C.H., PATNAIK, S., POPENTIU VLÃDICESCU, F., NAKAMATSU, K. (eds) Recent Developments in Intelligent Computing, Communication and Devices. ICCD 2019. Advances in Intelligent Systems and Computing, vol 1185. Springer, Singapore. https://doi.org/10.1007/978-981-15-5887-0_22
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DOI: https://doi.org/10.1007/978-981-15-5887-0_22
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