Page 268 - 《应用声学》2025年第2期
P. 268

528                                                                                  2025 年 3 月


                 based on SVD and deep learning[J]. Applied Sciences,  [14] 张涛. 基于 VMD 的航空发动机中介轴承故障诊断 [D]. 大连:
                 2022, 12(24): 12840.                              大连理工大学, 2017.
             [11] 刘金凤, 陈浩玮, Herbert H C I. 基于 VMD 和 DAIPSO-     [15] Donoho D L. De-noising by soft-thresholding[J]. IEEE
                 GPR 解决容量再生现象的锂离子电池寿命预测研究 [J]. 电子                  Transactions  on  Information  Theory,  1995,  41(3):
                 与信息学报, 2023, 45(3): 1111–1120.                    613–627.
                 Liu Jinfeng, Chen Haowei, Herbert H C I. Li-ion batteries  [16] Liu Y M, Application of improved VMD and wavelet
                 life prediction based on variational modal decomposition  threshold denoising method in bolt detection[C]. 2020
                 and DAIPSO-GPR to solve the capacity regeneration phe-  International Conference on Wavelet Analysis and Pat-
                 nomenon[J]. Journal of Electronics & Information Tech-  tern Recognition (ICWAPR), Adelaide, Australia, 2020:
                 nology, 2023, 45(3): 1111–1120.                   14–20.
             [12] Zhang Z J, Yang Y Q, Gong Y R. An improved wavelet  [17] 薛河, 赵有俊, 王双, 等. 疲劳裂纹扩展电位信号的最优光滑
                 threshold for correcting static effects of MT[J]. Journal of  降噪算法 [J]. 电子测量与仪器学报, 2022, 36(7): 115–124.
                 Applied Geophysics, 2023, 213: 105045.            Xue He, Zhao Youjun, Wang Shuang, et al.  Optimal
             [13] Dragomiretskiy K, Zosso D. Variational mode decompo-  smoothing noise reduction algorithm for potential drop
                 sition[J]. IEEE Transactions on Signal Processing, 2014,  signal of fatigue crack growth[J]. Journal of Electronic
                 62(3): 531–544.                                   Measurement and Instrumentation, 2022, 36(7): 115–124.
   263   264   265   266   267   268   269   270   271   272   273