Electronics Optics & Control, Volume. 25, Issue 2, 103(2018)

A Deep Learning Based Method for Equipment Fault Diagnosis

JU Jian-bo... HU Sheng-lin, ZHU Chao and GUAN Han |Show fewer author(s)
Author Affiliations
  • [in Chinese]
  • show less
    References(6)

    [1] [1] BUXTON BGOLDSTON DDOCTORO Cet al.Big data:science in the petabyte era[J].Nature2008455(7209):8-9.

    [5] [5] BENGIO Y.Learning deep architectures for AI [J].Foundations and Trends in Machine Learning20092(1):1-127.

    [6] [6] CHERIYADAT A M .Unsupervised feature learning for aerial scene classification[J].IEEE Transactions on Geo- science & Remote Sensing201352(1):439-451.

    [7] [7] SHIN H CORTON M RCOLLINS D Jet al.Stacked autoencoders for unsupervised feature learning and multiple organ detection in a pilot study using 4D patient data[J].IEEE Transactions on Pattern Analysis and Machine Intelligence201335(8):1930-1943.

    [8] [8] VINCENT PLAROCHELLE HBENGIO Yet al.Extracting and composing robust features with denoising autoencoders[C]//Proceedings of the 25th International Conference on Machine LearningACM2008:1096-1103.

    [9] [9] YOON HPARK C SKIM J Set al.Algorithm learning based neural network integrating feature selection and classification [J].Expert Systems with Applications2013 40(1):231-241.

    Tools

    Get Citation

    Copy Citation Text

    JU Jian-bo, HU Sheng-lin, ZHU Chao, GUAN Han. A Deep Learning Based Method for Equipment Fault Diagnosis[J]. Electronics Optics & Control, 2018, 25(2): 103

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Apr. 8, 2017

    Accepted: --

    Published Online: Mar. 21, 2018

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2018.02.021

    Topics