Cable tension force estimate using novel noncontact vision-based sensor
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Fang, 2012, Practical formula for cable tension estimation by vibration method, J. Bridge Eng., 17, 161, 10.1061/(ASCE)BE.1943-5592.0000200
Ozer, 2015, Citizen sensors for SHM: towards a crowdsourcing platform, Sensors, 15, 14591, 10.3390/s150614591
Gentile, 2015, Vibration-based structural health monitoring for stay cables by microwave remote sensing, Smart Struct. Syst., 16, 263, 10.12989/sss.2015.16.2.263
Kim, 2013, Vision-based monitoring system for evaluating cable tensile forces on a cable-stayed bridge, Struct. Health Monit., 12, 440, 10.1177/1475921713500513
Cunha, 1999, Dynamic measurements on stay cables of cable-stayed bridges using an interferometry laser system, Exp Tech., 23, 39, 10.1111/j.1747-1567.1999.tb01570.x
Nassif, 2005, Comparison of laser Doppler vibrometer with contact sensors for monitoring bridge deflection and vibration, NDT & E Int., 38, 213, 10.1016/j.ndteint.2004.06.012
Lee, 2006, A vision-based system for remote sensing of bridge displacement, NDT & E Int., 39, 425, 10.1016/j.ndteint.2005.12.003
Busca, 2014, Vibration monitoring of multiple bridge points by means of a unique vision-based measuring system, Exp. Mech., 54, 255, 10.1007/s11340-013-9784-8
Ji, 2008, Nontarget image-based technique for small cable vibration measurement, J. Bridge Eng., 13, 34, 10.1061/(ASCE)1084-0702(2008)13:1(34)
Song, 2014, Virtual visual sensors and their application in structural health monitoring, Struct. Health Monit., 13, 251, 10.1177/1475921714522841
Zhang, 2014, SIFT flow for large-displacement object tracking, Appl. Opt., 53, 6194, 10.1364/AO.53.006194
Gehle, 1998, Tracking the multi-component motion of a cable using a television camera, Smart Mater. Struct., 7, 43, 10.1088/0964-1726/7/1/006
Jeon, 2011, A paired visual servoing system for 6-DOF displacement measurement of structures, Smart Mater. Struct., 20, 045019, 10.1088/0964-1726/20/4/045019
Lee, 2012, An advanced vision-based system for real-time displacement measurement of high-rise buildings, Smart Mater. Struct., 21, 125019, 10.1088/0964-1726/21/12/125019
Santos, 2012, Calibration methodology of a vision system for measuring the displacements of long-deck suspension bridges, Struct. Control Health Monit., 19, 385, 10.1002/stc.438
Feng, 2015, Nontarget vision sensor for remote measurement of bridge dynamic response, J. Bridge Eng., 04015023, 10.1061/(ASCE)BE.1943-5592.0000747
Feng, 2015, Model updating of railway bridge using in situ dynamic displacement measurement under trainloads, J. Bridge Eng., 04015019, 10.1061/(ASCE)BE.1943-5592.0000765
Stephen, 1993, Measurements of static and dynamic displacement from visual monitoring of the Humber Bridge, Eng. Struct., 15, 197, 10.1016/0141-0296(93)90054-8
Olaszek, 1999, Investigation of the dynamic characteristic of bridge structures using a computer vision method, Measurement, 25, 227, 10.1016/S0263-2241(99)00006-8
Wahbeh, 2003, A vision-based approach for the direct measurement of displacements in vibrating systems, Smart Mater. Struct., 12, 785, 10.1088/0964-1726/12/5/016
Ho, 2012, A synchronized multipoint vision-based system for displacement measurement of civil infrastructures, Sci. World J., 2012, 9, 10.1100/2012/519146
Myung, 2010, Paired structured light for structural health monitoring robot system, Struct. Health Monit.
Feng, 2016
Feng, 2015, A vision-based sensor for noncontact structural displacement measurement, Sensors, 15, 16557, 10.3390/s150716557
Wu, 2014, Dynamic testing of a laboratory model via vision-based sensing, Eng. Struct., 60, 113, 10.1016/j.engstruct.2013.12.002
Caetano, 2011, A vision system for vibration monitoring of civil engineering structures, Exp. Tech., 35, 74, 10.1111/j.1747-1567.2010.00653.x
Park, 2010, Vision-based displacement measurement method for high-rise building structures using partitioning approach, NDT & E Int., 43, 642, 10.1016/j.ndteint.2010.06.009
Pan, 2016, Real-time, non-contact and targetless measurement of vertical deflection of bridges using off-axis digital image correlation, NDT & E Int., 79, 73, 10.1016/j.ndteint.2015.12.006
Sładek, 2013, Development of a vision based deflection measurement system and its accuracy assessment, Measurement, 46, 1237, 10.1016/j.measurement.2012.10.021
Ribeiro, 2014, Non-contact measurement of the dynamic displacement of railway bridges using an advanced video-based system, Eng. Struct., 75, 164, 10.1016/j.engstruct.2014.04.051
Feng, 2016, Vision-based multipoint displacement measurement for structural health monitoring, Struct. Control Health Monit., 23, 876, 10.1002/stc.1819
Oh, 2015, Vision-based system identification technique for building structures using a motion capture system, J. Sound Vib., 356, 72, 10.1016/j.jsv.2015.07.011
Wang, 2009, Mode-shape recognition and finite element model updating using the Zernike moment descriptor, Meas. Sci. Technol., 23, 2088
Wang, 2009, Vibration mode shape recognition using image processing, J. Sound Vib., 326, 909, 10.1016/j.jsv.2009.05.024
Chen, 2015, Modal identification of simple structures with high-speed video using motion magnification, J. Sound Vib., 345, 58, 10.1016/j.jsv.2015.01.024
Yoon, 2016, Target-free approach for vision-based structural system identification using consumer-grade cameras, Struct. Control Health Monit., 10.1002/stc.1850
Feng, 2016, Output-only damage detection using vehicle-induced displacement response and mode shape curvature index, Struct. Control Health Monit., 10.1002/stc.1829
Dworakowski, 2016, Vision-based algorithms for damage detection and localization in structural health monitoring, Struct. Control Health Monit., 35, 10.1002/stc.1755