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Mel spectrogram–driven deep learning framework for acoustic emission-based manufacturing monitoring in wire arc additive manufacturing
Papers | 更新时间:2026-06-05
    • Mel spectrogram–driven deep learning framework for acoustic emission-based manufacturing monitoring in wire arc additive manufacturing

    • 梅尔频谱图驱动的深度学习框架:用于丝材电弧增材制造中基于声发射的制造监测
    • Journal of Reliability Science and Engineering   Vol. 2, Issue 2, Pages: 1-14(2026)
    • 作者机构:

      School of Reliability and Systems Engineering, Beihang University, Xueyuan Road No.37, Haidian District, Beijing, People's Republic of China

      Ningbo Institution of Technology (NIT), Beihang University, Ningbo 315832, People's Republic of China

    • DOI:10.1088/3050-2454/ae5498    

      CLC:
    • Received:26 December 2025,

      Revised:2026-03-14,

      Accepted:18 March 2026,

      Online First:31 March 2026,

      Published:2026-06

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  • Fei Gao, Yishu Chen, Jing Lin, et al. Mel spectrogram–driven deep learning framework for acoustic emission-based manufacturing monitoring in wire arc additive manufacturing[J]. Journal of Reliability Science and Engineering, 2026, 2: 025301. DOI: 10.1088/3050-2454/ae5498.

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