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  1. Home /
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  3. Vol. 2 No. 1 (2023)

Vol. 2 No. 1 (2023)

					View Vol. 2 No. 1 (2023)
Published: 2023-03-31

Future Direction Paper

  • Prognostics and Remaining Useful Life Prediction of Machinery: Advances, Opportunities and Challenges

    JDMD Editorial Office, Nagi Gebraeel, Yaguo Lei, Naipeng Li, Xiaosheng Si, Enrico Zio
    1-12
    • PDF
    • XML

Review Paper

  • Compound Fault Diagnosis for Rotating Machinery: State-of-the-Art, Challenges, and Opportunities

    Ruyi Huang, Jingyan Xia, Bin Zhang, Zhuyun Chen, Weihua Li
    13-29
    • PDF
    • XML

Regular Articles

  • Intelligent Fault Diagnosis for Planetary Gearbox Using Transferable Deep Q Network Under Variable Conditions with Small Training Data

    Hui Wang, Jiawen Xu, Ruqiang Yan
    30-41
    • PDF
    • XML
  • Computational Reproducibility Within Prognostics and Health Management

    Tim von Hahn, Chris K. Mechefske
    42-50
    • PDF
    • XML
  • Deep Residual Joint Transfer Strategy for Cross-Condition Fault Diagnosis of Rolling Bearings

    Songjun Han, Zhipeng Feng
    51-60
    • PDF
    • XML
  • Experimental Study on Entropy Features in Machining Vibrations of A Thin-walled Tubular Workpiece

    Kaibo Lu, Xin Wang, Xun Chen, Xinyu Pang, Fengshou Gu
    61-68
    • PDF
    • XML

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Announcements

The second issue is open

2022-06-30

The second issue of Journal of Dynamics, Monitoring and Diagnostics is published. 

JDMD has been listed in the  VIP network

2022-04-14

JDMD has been listed in the  VIP network. Founded in 2000, VIP network is the world-famous Chinese information service website, the largest comprehensive literature service network in China and the largest Chinese content cooperative website of Google Scholar.

The inaugural issue is open

2022-03-29

The first issue of Journal of Dynamics, Monitoring and Diagnostics is published. 

Sponsors

Most Read
  • Inter-shaft Bearing Fault Diagnosis Based on Aero-engine System: A Benchmarking Dataset Study
    198
  • Prognostics and Remaining Useful Life Prediction of Machinery: Advances, Opportunities and Challenges
    194
  • Compound Fault Diagnosis for Rotating Machinery: State-of-the-Art, Challenges, and Opportunities
    168
  • Physics-Informed Deep Neural Network for Bearing Prognosis with Multisensory Signals
    165
  • Residual Convolution Long Short-Term Memory Network for Machines Remaining Useful Life Prediction and Uncertainty Quantification
    133
Keywords

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ISSN 2833-650X (Print) 2831-5308 (Online) | Published by INTELLIGENCE SCIENCE AND TECHNOLOGY PRESS INC.

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