A novel distance estimation algorithm for periodic surface vibrations based on frequency band energy percentage feature

UM > Faculty of Science and Technology > DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE

Status	已發表Published
	A novel distance estimation algorithm for periodic surface vibrations based on frequency band energy percentage feature
	Cao, J.W.; Wang, T.L.; Shang, L.M.; Wang, J.Z.; Vong, C. M.; Yin, C.; Huang, X.G.
	2018-12-01
Source Publication	Mechanical Systems and Signal Processing (SCI-E)
ISSN	0888-3270
Pages	222-236
Abstract	Earth surface vibration signal processing becomes attractive recently due to its significance in source detection and localization, which can be adopted in a number of real world applications, such as footstep detection, underground pipeline network surveillance, etc. In this paper, we investigate the distance estimation problem for earth surface periodic vibration signal localization. The signal attenuation principle between the propagation distance and the signal frequency is exploited and a novel frequency band energy percentage (FBEP) feature is developed to characterize the energy distribution property within different frequency bands of different propagation distances. To obtain the fundamental frequency of periodic vibrations, the cepstrum approach is employed. An enhanced computationally efficient k nearest neighborhood (EH-kNN) algorithm is developed to perform the distance estimation. Experiments on real periodic vibration signals generated by an electric hammer under different collecting distances and transmission medias are conducted to show the superiority of the proposed distance estimation method in this paper.
Keyword	Periodic vibration signal processing Distance prediction system Fundamental frequency estimation Frequency band energy percentage Cepstrum
Language	英語English
The Source to Article	PB_Publication
PUB ID	42818
Document Type	Journal article
Collection	DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding Author	Cao, J.W.
Recommended Citation GB/T 7714	Cao, J.W.,Wang, T.L.,Shang, L.M.,et al. A novel distance estimation algorithm for periodic surface vibrations based on frequency band energy percentage feature[J]. Mechanical Systems and Signal Processing (SCI-E), 2018, 222-236.
APA	Cao, J.W.., Wang, T.L.., Shang, L.M.., Wang, J.Z.., Vong, C. M.., Yin, C.., & Huang, X.G. (2018). A novel distance estimation algorithm for periodic surface vibrations based on frequency band energy percentage feature. Mechanical Systems and Signal Processing (SCI-E), 222-236.
MLA	Cao, J.W.,et al."A novel distance estimation algorithm for periodic surface vibrations based on frequency band energy percentage feature".Mechanical Systems and Signal Processing (SCI-E) (2018):222-236.

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