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Simulation of ultra-precision machine tool spindle fault diagnosis based on multi-state time series predictive learning
更新时间：2025-05-26

    • Simulation of ultra-precision machine tool spindle fault diagnosis based on multi-state time series predictive learning

    • “In the field of ultra precision machine tool spindle fault diagnosis, experts have proposed a diagnostic method based on multi state time series prediction learning, established a DAFDC-RNN model, introduced attention mechanism and full dimensional convolution, improved the accuracy of fault prediction, and controlled the time consumption within 10ms.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 11, Pages: 3056-3061(2023)
    • 作者机构：

      1.江汉大学 工程训练中心，武汉 430056

      2.武汉大学 工程训练与创新实践中心，武汉 430056

    • DOI：10.13229/j.cnki.jdxbgxb.20220768    

      CLC： TM464

    • Received：20 June 2022，

      Published：01 November 2023

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  • ZHANG Chao-gang,SHI Zhong-lou,LI Min.Simulation of ultra-precision machine tool spindle fault diagnosis based on multi-state time series predictive learning[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(11):3056-3061. DOI： 10.13229/j.cnki.jdxbgxb.20220768.

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