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Research on Detection of Mechanical Abnormal Sounds Based on Multi-feature Fusion and Interpolation Convolutional Neural Auto-Encoder
Artificial Intelligence | 更新时间：2025-02-26
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    • Research on Detection of Mechanical Abnormal Sounds Based on Multi-feature Fusion and Interpolation Convolutional Neural Auto-Encoder

    • “In the field of industrial automation, experts have proposed a method for detecting abnormal sounds using multi feature fusion and interpolation convolutional autoencoder, with an accuracy of 99%, providing a solution to avoid significant losses.”
    • Software Guide   Vol. 24, Issue 2, Pages: 40-47(2025)

    • DOI：10.11907/rjdk.232302    

      CLC： TP183

    • Received：22 January 2024，

      Published：28 February 2025

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  • SHI Aiwu,MA Shuran.Research on Detection of Mechanical Abnormal Sounds Based on Multi-feature Fusion and Interpolation Convolutional Neural Auto-Encoder[J].Software Guide,2025,24(02):40-47. DOI： 10.11907/rjdk.232302.

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