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A novel distance estimation algorithm for periodic surface vibrations based on frequency band energy percentage feature
Cao, Jiuwen1; Wang, Tianlei1; Shang, Luming1; Wang, Jianzhong1; Vong, Chi-Man2; Yin, Chun3; Huang, Xuegang4
2018-12
Source PublicationMECHANICAL SYSTEMS AND SIGNAL PROCESSING
ISSN0888-3270
Volume113Pages: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. (C) 2017 Elsevier Ltd. All rights reserved.

KeywordPeriodic Vibration Signal Processing Distance Prediction System Fundamental Frequency Estimation Frequency Band Energy Percentage Cepstrum
DOI10.1016/j.ymssp.2017.10.016
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Mechanical
WOS IDWOS:000442066800018
PublisherACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
The Source to ArticleWOS
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Cited Times [WOS]:4   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorCao, Jiuwen
Affiliation1.Key Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, Zhejiang 310018, China
2.Faculty of Science and Technology, University of Macau, Macau
3.School of Automation Engineering, University of Electronic Science and Technology of China, 611731, China
4.Hypervelocity Aerodynamics Institute, China Aerodynamics Research & Development Center, Mianyang 621000, China
Recommended Citation
GB/T 7714
Cao, Jiuwen,Wang, Tianlei,Shang, Luming,et al. A novel distance estimation algorithm for periodic surface vibrations based on frequency band energy percentage feature[J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2018,113:222-236.
APA Cao, Jiuwen.,Wang, Tianlei.,Shang, Luming.,Wang, Jianzhong.,Vong, Chi-Man.,...&Huang, Xuegang.(2018).A novel distance estimation algorithm for periodic surface vibrations based on frequency band energy percentage feature.MECHANICAL SYSTEMS AND SIGNAL PROCESSING,113,222-236.
MLA Cao, Jiuwen,et al."A novel distance estimation algorithm for periodic surface vibrations based on frequency band energy percentage feature".MECHANICAL SYSTEMS AND SIGNAL PROCESSING 113(2018):222-236.
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