UM
An intelligent propagation distance estimation algorithm based on fundamental frequency energy distribution for periodic vibration localization
Cao, Jiuwen; Wang, Tianlei; Shang, Luming; Lai, Xiaoping; Vong, Chi-Man; Chen, Badong
2018-03
Source PublicationJOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
ISSN0016-0032
Volume355Issue:4Pages:1539-1558
AbstractEarth surface vibrations generated by passing vehicles, excavation equipment, footsteps, etc., attract increasing attentions in the research community due to their wide applications. In this paper, we investigate the periodic vibration source localization problem, which has recently shown significance in excavation device detection and localization for urban underground pipeline network protection. An intelligent propagation distance estimation algorithm based on a novel fundamental frequency energy distribution (FBED) feature is developed for periodic vibration signal localization. Contributions of the paper lie in three aspects: 1) a novel frequency band energy distribution (FBED) feature is developed to characterize the property of vibrations at different propagation distances; 2) an intelligent propagation distance estimation model built on the FBED feature with machine learning algorithms is proposed, where for comparisons, the support vector machine (SVM) for regression and regularized extreme learning machine (RELM) are used; 3) a localization algorithm based on the distance-of-arrival (DisOA) estimation using three piezoelectric transducer sensors is given for source position estimation. To testify the effectiveness of the proposed algorithms, case studies on real collected periodic vibration signals generated by two electric hammers with different fundamental frequencies are presented in the paper. The transmission medium is the cement road and experiments on vibration signals recorded at different propagation distances are conducted. (c) 2017 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
DOI10.1016/j.jfranklin.2017.02.011
URLView the original
Indexed BySCI
Language英语
WOS Research AreaAutomation & Control Systems ; Engineering ; Mathematics
WOS SubjectAutomation & Control Systems ; Engineering, Multidisciplinary ; Engineering, Electrical & Electronic ; Mathematics, Interdisciplinary Applications
WOS IDWOS:000426986200003
PublisherPERGAMON-ELSEVIER SCIENCE LTD
The Source to ArticleWOS
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Cited Times [WOS]:4   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Recommended Citation
GB/T 7714
Cao, Jiuwen,Wang, Tianlei,Shang, Luming,et al. An intelligent propagation distance estimation algorithm based on fundamental frequency energy distribution for periodic vibration localization[J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS,2018,355(4):1539-1558.
APA Cao, Jiuwen,Wang, Tianlei,Shang, Luming,Lai, Xiaoping,Vong, Chi-Man,&Chen, Badong.(2018).An intelligent propagation distance estimation algorithm based on fundamental frequency energy distribution for periodic vibration localization.JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS,355(4),1539-1558.
MLA Cao, Jiuwen,et al."An intelligent propagation distance estimation algorithm based on fundamental frequency energy distribution for periodic vibration localization".JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS 355.4(2018):1539-1558.
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