Laser & Optoelectronics Progress, Volume. 58, Issue 4, 0411001(2021)

Modal Identification Method of Blade Based on Photogrammetry and Improved ERA

Weiming Quan1, Yingfu Guo1, Wenyun Wang2、*, and Longzhou Zou1
Author Affiliations
  • 1School of Mechanical Engineering, Hunan University of Science and Technology, Xiangtan, Hunan 411201, China
  • 2Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Xiangtan, Hunan 411201, China
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    References(19)

    [1] Li D S. Ho S C M, Song G B, et al. A review of damage detection methods for wind turbine blades[J]. Smart Materials and Structures, 24, 033001(2015).

    [2] Juang J N, Pappa R S. An eigensystem realization algorithm for modal parameter identification and model reduction[J]. Journal of Guidance, Control, and Dynamics, 8, 620-627(1985).

    [11] Castellanos-Toro S, Marmolejo M, Marulanda J et al. Frequencies and damping ratios of bridges through operational modal analysis using smartphones[J]. Construction and Building Materials, 188, 490-504(2018).

    [13] [13] GolafshanR, Yuce Sanliturk K.SVD and Hankel matrix based de-noising approach for ball bearing fault detection and its assessment using artificial faults[J]. Mechanical Systems and SignalProcessing, 2016, 70/71: 36- 50.

    [18] Zhang Z. A flexible new technique for camera calibration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 1330-1334(2000).

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    Weiming Quan, Yingfu Guo, Wenyun Wang, Longzhou Zou. Modal Identification Method of Blade Based on Photogrammetry and Improved ERA[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0411001

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    Paper Information

    Category: Imaging Systems

    Received: Jun. 15, 2020

    Accepted: Aug. 3, 2020

    Published Online: Feb. 4, 2021

    The Author Email: Wang Wenyun (wwy73210693@163.com)

    DOI:10.3788/LOP202158.0411001

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