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Volume 46 Issue 5
Oct.  2025
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Liu Jiaxin, Bao Yufeng, Zhe Na, Wang Jin, Duan Zhiyong, Liu Caixue, Yang Taibo. Identification Technology of Weak Collision Mechanical Noise of Reactor Lower Grating Plate Base on WPD and Kurtosis[J]. Nuclear Power Engineering, 2025, 46(5): 217-223. doi: 10.13832/j.jnpe.2024.10.0049
Citation: Liu Jiaxin, Bao Yufeng, Zhe Na, Wang Jin, Duan Zhiyong, Liu Caixue, Yang Taibo. Identification Technology of Weak Collision Mechanical Noise of Reactor Lower Grating Plate Base on WPD and Kurtosis[J]. Nuclear Power Engineering, 2025, 46(5): 217-223. doi: 10.13832/j.jnpe.2024.10.0049

Identification Technology of Weak Collision Mechanical Noise of Reactor Lower Grating Plate Base on WPD and Kurtosis

doi: 10.13832/j.jnpe.2024.10.0049
  • Received Date: 2024-10-11
  • Rev Recd Date: 2025-04-30
  • Available Online: 2025-10-15
  • Publish Date: 2025-10-15
  • The loose parts carried by the coolant in the reactor primary circuit can move to the lower grating plate, causing collisions with the lower grating plate and further blocking the diversion hole. After being transmitted to the top cover of the reactor pressure vessel through internal structures, the collision mechanical noise of the lower grating plate experiences signal attenuation and is masked by the reactor background noise, making direct identification impossible. Therefore, this study first conducted simulation tests to obtain background noise data and weak collision mechanical noise data of the lower grating plate. Then, wavelet packet decomposition (WPD) combined with a kurtosis threshold method was used to denoise the weak collision mechanical noise submerged in background noise. Finally, based on the denoised collision signal, loose parts collision identification was performed, and a code for identifying collision events of the lower grating plate in the reactor was developed. Test results show that the proposed denoising method is effective, and the developed code can effectively identify the signals of lower grating plate collision events submerged in background noise.

     

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  • [1]
    刘才学, 汪成元, 郑武元, 等. 核电站松脱部件监测系统研制[J]. 核动力工程, 2010, 31(1): 97-101.
    [2]
    刘才学, 罗能, 何攀, 等. 反应堆关键设备健康监测与故障诊断技术研究进展[J]. 核动力工程, 2023, 44(3): 8-20.
    [3]
    ZHANG X, LIANG Y, ZHOU J. A novel bearing fault diagnosis model integrated permutation entropy, ensemble empirical mode decomposition and optimized SVM[J]. Measurement, 2015, 69: 164-179.
    [4]
    LIU R, WANG X, SU C, et al. Bearing fault diagnosis method based on variational mode decomposition optimized by CS-PSO[J]. Journal of Vibration and Control, 2024, 30(5-6): 973-987.
    [5]
    VENTRICCI L, RIBEIRO Junior R F, GOMES G F. Motor fault classification using hybrid short-time Fourier transform and wavelet transform with vibration signal and convolutional neural network[J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2024, 46(6): 337.
    [6]
    LU H, ZHANG W, CHEN Z, et al. Rotating machinery early fault detection integrating variational mode decomposition and multiscale singular value decomposition[J]. Measurement Science and Technology, 2024, 35(12): 126128.
    [7]
    TANG H, CHEN J, DONG G. Sparse representation based latent components analysis for machinery weak fault detection[J]. Mechanical Systems and Signal Processing, 2014, 46(2): 373-388.
    [8]
    YAQUB M F, GONDAL I, KAMRUZZAMAN J. Envelope-wavelet packet transform for machine condition monitoring[J]. World Academy of Science, Engineering and Technology, 2011, 59: 1597-1603.
    [9]
    SIMON D. Optimal state estimation: Kalman, H, and nonlinear approaches[M]. Hoboken: John Wiley & Sons, 2006: 552.
    [10]
    HUANG N E, SHEN Z, LONG S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 1998, 454(1971): 903-995. doi: 10.1098/rspa.1998.0193
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