Analysis of traffic-induced vibrations by blind source separation with application in building monitoring
The paper presents an approach that may enable the separation of the vibrations induced by underground traffic from the vibrations induced by other sources, based on Second Order Blind Identification (SOBI) algorithm. The signals recorded in different locations of an instrumented building are mixed...
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Published in | Mathematics and computers in simulation Vol. 80; no. 12; pp. 2374 - 2385 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.08.2010
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Subjects | |
Online Access | Get full text |
ISSN | 0378-4754 1872-7166 |
DOI | 10.1016/j.matcom.2010.05.020 |
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Abstract | The paper presents an approach that may enable the separation of the vibrations induced by underground traffic from the vibrations induced by other sources, based on Second Order Blind Identification (SOBI) algorithm. The signals recorded in different locations of an instrumented building are mixed signals from different internal and external vibration sources. The blind source separation algorithm will estimate the independent vibration sources together with their mixing model. This model can be used to determine the contribution of each source in different measurement points, to evaluate the effect of the vibration sources and their potential for building damage. The above approach has been tested in simulation and on a building subject to different traffic forms. |
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AbstractList | The paper presents an approach that may enable the separation of the vibrations induced by underground traffic from the vibrations induced by other sources, based on Second Order Blind Identification (SOBI) algorithm. The signals recorded in different locations of an instrumented building are mixed signals from different internal and external vibration sources. The blind source separation algorithm will estimate the independent vibration sources together with their mixing model. This model can be used to determine the contribution of each source in different measurement points, to evaluate the effect of the vibration sources and their potential for building damage. The above approach has been tested in simulation and on a building subject to different traffic forms. |
Author | Popescu, Th.D. |
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CitedBy_id | crossref_primary_10_1177_01423312211038419 crossref_primary_10_21595_jve_2017_18039 crossref_primary_10_4028_www_scientific_net_AMR_255_260_1770 crossref_primary_10_1007_s00170_021_07703_1 crossref_primary_10_1016_j_ymssp_2017_03_001 crossref_primary_10_1016_j_mechrescom_2016_11_002 crossref_primary_10_1515_ijnaoe_2015_0010 |
Cites_doi | 10.1061/(ASCE)1090-0241(2008)134:11(1633) 10.1109/78.554307 10.12989/imm.2008.1.1.157 10.1016/0165-1684(94)90029-9 10.1109/TASSP.1987.1165063 |
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Keywords | Building monitoring Blind source separation Traffic-induced vibration Second-order statistics |
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Title | Analysis of traffic-induced vibrations by blind source separation with application in building monitoring |
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