OPTICS & OPTOELECTRONIC TECHNOLOGY, Volume. 21, Issue 5, 38(2023)

Classification and Recognition of OPGW Abnormal Vibration Signals Based on Fiber Bragg Grating

LI Feng1, ZHANG Jian-ye2, HUO Wei-wei3, GUO Qing-rui1, and ZHANG Qian-zi4
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  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
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    References(6)

    [1] [1] Wang S, Jiang X, Sun C. Study status of conductor galloping on transmission line[J]. High Voltage Engineering, 2005, 31(10): 11-14.

    [3] [3] Wei F A, Szb D, Wz C, et al. An efficient dynamic formulation for the vibration analysis of a multi-span power transmission line excited by a moving deicing robot[J]. Applied Mathematical Modelling, 2022, 103: 619-635.

    [11] [11] Wang Y, Qi Y, Chen Y, et al. Prediction of soil organic matter based on multi-resolution remote sensing data and random forest algorithm[J]. Acta Pedologica Sinica, 2016, (5): 10-15.

    [12] [12] Bradter U, Kunin W E, Altringham J D, et al. Identifying appropriate spatial scales of predictors in species distribution models with the random forest algorithm[J]. Methods in Ecology and Evolution, 2013, 4(2): 167-174.

    [13] [13] Beckschafer, Fehrmann, Harrison, et al. Mapping Leaf Area Index in subtropical upland ecosystems using RapidEye imagery and the randomForest algorithm[J]. IFOREST, 2013, 2013, 7(3): 1-11.

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    LI Feng, ZHANG Jian-ye, HUO Wei-wei, GUO Qing-rui, ZHANG Qian-zi. Classification and Recognition of OPGW Abnormal Vibration Signals Based on Fiber Bragg Grating[J]. OPTICS & OPTOELECTRONIC TECHNOLOGY, 2023, 21(5): 38

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    Paper Information

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    Received: Feb. 14, 2023

    Accepted: --

    Published Online: Dec. 29, 2023

    The Author Email:

    DOI:

    CSTR:32186.14.

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