Chinese Journal of Lasers, Volume. 51, Issue 17, 1704001(2024)

Stress Evaluation Based on Laser Ultrasonic Time‐Frequency Statistical Feature Fusion

Fasheng Qiu1、*, Dong Li2, Chaoyang Guo2, Shukun Xiao2, Yuting Kang1, Zhongqi Hao1, and Wenze Shi1
Author Affiliations
  • 1Key Laboratory of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Nanchang 330063, Jiangxi , China
  • 2Inspection and Testing Center of Jiangxi Hongdu Aviation Industry Group Co., Ltd., Nanchang 330096, Jiangxi , China
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    References(25)

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    [11] Pan Z X, Song J K, Gao Y K. Residual stress measurement of GH4169 superalloy based on laser ultrasonic method[J]. Chinese Quarterly of Mechanics, 42, 98-107(2021).

    [16] Deng F Y, Ding H, Hao R J. Fault diagnosis of rotating machinery based on residual neural network with multi-scale feature fusion[J]. Journal of Vibration and Shock, 40, 22-28, 35(2021).

    [20] Ma Y Y. Study on laser opto-ultrasonic dual detection and its application of wire + arc additive manufacturing component[D](2023).

    [21] Song W Q, Ding Z W, Mao B N et al. Similar-signal recognition method for φ-OTDR systems based on multiscale feature fusion[J]. Chinese Journal of Lasers, 51, 0606001(2024).

    [22] Yin X H, Chen H C, Zhang H. Quantitative detection of multi⁃component rubber additives based on terahertz spectral data fusion[J]. Chinese Journal of Lasers, 51, 0514001(2024).

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    Fasheng Qiu, Dong Li, Chaoyang Guo, Shukun Xiao, Yuting Kang, Zhongqi Hao, Wenze Shi. Stress Evaluation Based on Laser Ultrasonic Time‐Frequency Statistical Feature Fusion[J]. Chinese Journal of Lasers, 2024, 51(17): 1704001

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    Paper Information

    Category: Measurement and metrology

    Received: Oct. 16, 2023

    Accepted: Nov. 24, 2023

    Published Online: Aug. 29, 2024

    The Author Email: Fasheng Qiu (qiufasheng2019@nchu.edu.cn)

    DOI:10.3788/CJL231289

    CSTR:32183.14.CJL231289

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