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contributor authorAoyama, Tadayoshi
contributor authorLi, Liang
contributor authorJiang, Mingjun
contributor authorTakaki, Takeshi
contributor authorIshii, Idaku
contributor authorYang, Hua
contributor authorUmemoto, Chikako
contributor authorMatsuda, Hiroshi
contributor authorChikaraishi, Makoto
contributor authorFujiwara, Akimasa
date accessioned2019-03-17T10:45:03Z
date available2019-03-17T10:45:03Z
date copyright11/8/2018 12:00:00 AM
date issued2019
identifier issn0022-0434
identifier otherds_141_03_031007.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4256315
description abstractPreviously, we proposed a multithread active vision system with virtual multiple pan-tilt tracking cameras by rapidly switching the viewpoints for the vibration sensing of large-scale structures. We also developed a system using a galvanometer mirror that can switch 500 different viewpoints in 1 s. However, the measurement rate of each observation point is low, and the time density is not always sufficient. In addition, strong multiple illuminations are required for the system owing to the retro reflective markers attached to the object being observed. In this study, we propose a multiple vibration distribution synthesis method for vibration analysis that increases the sampling rate of each observation point in the multi-thread active vision system, which is subsequently modified to a system that requires only one illumination by using corner cubes as markers. Several dynamics-based inspection experiments are conducted for a 4 m long truss-structure bridge model. The proposed method and system are verified via a high-order modal analysis, which was impossible to perform in the previous method and system.
publisherThe American Society of Mechanical Engineers (ASME)
titleVision-Based Modal Analysis Using Multiple Vibration Distribution Synthesis to Inspect Large-Scale Structures
typeJournal Paper
journal volume141
journal issue3
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.4041604
journal fristpage31007
journal lastpage031007-12
treeJournal of Dynamic Systems, Measurement, and Control:;2019:;volume( 141 ):;issue: 003
contenttypeFulltext


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