DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Kiyoung | ko |
dc.contributor.author | Choi, Jaemook | ko |
dc.contributor.author | Chung, Junyeon | ko |
dc.contributor.author | Koo, Gunhee | ko |
dc.contributor.author | Bae, In-Hwan | ko |
dc.contributor.author | Sohn, Hoon | ko |
dc.date.accessioned | 2018-11-12T04:17:10Z | - |
dc.date.available | 2018-11-12T04:17:10Z | - |
dc.date.created | 2018-10-22 | - |
dc.date.created | 2018-10-22 | - |
dc.date.created | 2018-10-22 | - |
dc.date.created | 2018-10-22 | - |
dc.date.issued | 2018-12 | - |
dc.identifier.citation | MEASUREMENT, v.130, pp.223 - 235 | - |
dc.identifier.issn | 0263-2241 | - |
dc.identifier.uri | http://hdl.handle.net/10203/246294 | - |
dc.description.abstract | For civil infrastructure monitoring, RTK-GPS sensors are commonly used to measure dynamic displacement. However, these sensors have poor precision (around 0.5-5 cm in the vertical direction) and a low sampling rate (up to 20 Hz). Furthermore, both the accuracy and the precision of the RTK-GPS sensors deteriorate when signals from satellites are not properly received by the sensors due to multipath, bad weather, signal blockage, etc. In this study, a new dynamic displacement estimation method is proposed so that the accuracy, precision, and sampling rate of dynamic displacement can be improved by combining the acceleration measured by a force-feedback accelerometer and the velocity and displacement measured by a low-cost RTK-GPS sensor. The uncertainty levels in the displacement and velocity measured by the RTK-GPS sensor are evaluated based on the quality of the received satellite signals, and the measurement from the RTK-GPS sensor is fused with the acceleration measured from the accelerometer using a two-stage Kalman filter. The performance of the proposed method is validated through a series of lab-scale tests and a field test conducted on Yeongjong Grand Bridge in South Korea. In the tests, the accuracy of the estimated vertical displacement was about 2 mm, and displacement, velocity, and acceleration are all simultaneously estimated at a sampling rate of 100 Hz. (C) 2018 Elsevier Ltd. All rights reserved. | - |
dc.language | English | - |
dc.publisher | ELSEVIER SCI LTD | - |
dc.title | Structural displacement estimation through multi-rate fusion of accelerometer and RTK-GPS displacement and velocity measurements | - |
dc.type | Article | - |
dc.identifier.wosid | 000446464400022 | - |
dc.identifier.scopusid | 2-s2.0-85051499328 | - |
dc.type.rims | ART | - |
dc.citation.volume | 130 | - |
dc.citation.beginningpage | 223 | - |
dc.citation.endingpage | 235 | - |
dc.citation.publicationname | MEASUREMENT | - |
dc.identifier.doi | 10.1016/j.measurement.2018.07.090 | - |
dc.contributor.localauthor | Sohn, Hoon | - |
dc.contributor.nonIdAuthor | Koo, Gunhee | - |
dc.contributor.nonIdAuthor | Bae, In-Hwan | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Displacement | - |
dc.subject.keywordAuthor | Kalman filter | - |
dc.subject.keywordAuthor | RTK-GPS | - |
dc.subject.keywordAuthor | Accelerometer | - |
dc.subject.keywordAuthor | Data fusion | - |
dc.subject.keywordPlus | EARTHQUAKE LOSS ESTIMATION | - |
dc.subject.keywordPlus | 2-STAGE KALMAN ESTIMATOR | - |
dc.subject.keywordPlus | SPAN SUSPENSION BRIDGE | - |
dc.subject.keywordPlus | MODAL FREQUENCIES | - |
dc.subject.keywordPlus | SEISMIC DESIGN | - |
dc.subject.keywordPlus | STEREO VISION | - |
dc.subject.keywordPlus | SYSTEM | - |
dc.subject.keywordPlus | IDENTIFICATION | - |
dc.subject.keywordPlus | VIBRATION | - |
dc.subject.keywordPlus | ACCELERATION | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.