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Noise-robust fusion power supply fault diagnosis based on wavelet integrated one-dimension convolutional neural network
Special Issue of Controlled Nuclear Fusion Power Engineering Technology | 更新时间：2024-12-06
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    • Noise-robust fusion power supply fault diagnosis based on wavelet integrated one-dimension convolutional neural network

    • “In the field of power fault diagnosis, researchers have proposed a multi branch denoising network HBD-CNN with anti noise wavelet enhanced one-dimensional convolutional neural network, which effectively improves the accuracy of fault diagnosis in noisy environments.”
    • NUCLEAR TECHNIQUES   Vol. 47, Issue 5, Article number: 050015(2024)

    • DOI：10.11889/j.0253-3219.2024.hjs.47.050015    

      CLC： TL503.5

    • Received：08 April 2024，

      Revised：08 May 2024，

      Published：15 May 2024

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  • HANG Qin,ZHONG Lingpeng,LI Hua,et al.Noise-robust fusion power supply fault diagnosis based on wavelet integrated one-dimension convolutional neural network[J].NUCLEAR TECHNIQUES,2024,47(05):050015 DOI： 10.11889/j.0253-3219.2024.hjs.47.050015.

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