Journal of Terahertz Science and Electronic Information Technology , Volume. 22, Issue 5, 537(2024)

Failure rate prediction for feedback terminal units based on the improved stacked denoising autoencoder

ZHAO Jianjun1,*... LIU Jialin1, LI Yang1, WANG Hengyu2 and YANG Ting3 |Show fewer author(s)
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  • 1[in Chinese]
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    References(2)

    [7] [7] JIANG Guoqian, HE Haibo,XIE Ping, et al. Stacked Multilevel-Denoising autoencoders:a new representation learning approach for wind turbine gearbox fault diagnosis[J]. IEEE Transactions on Instrumentation and Measurement, 2017, 66(9): 2391-2402. doi:10. 1109/TIM.2017.2698738.

    [11] [11] SRIVASTAVA N, HINTON G,KRIZHEVSKY A,et al. Dropout: a simple way to prevent neural networks from overfitting[J]. The Journal of Machine Learning Research, 2014, 15( 1): 1929-1958. doi:10.5555/2627435. 2670313.

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    ZHAO Jianjun, LIU Jialin, LI Yang, WANG Hengyu, YANG Ting. Failure rate prediction for feedback terminal units based on the improved stacked denoising autoencoder[J]. Journal of Terahertz Science and Electronic Information Technology , 2024, 22(5): 537

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    Paper Information

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    Received: Jun. 7, 2022

    Accepted: --

    Published Online: Aug. 22, 2024

    The Author Email: Jianjun ZHAO (1015367472@qq.com.)

    DOI:10.11805/tkyda2022124

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