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A Comprehensive Survey of Prognostics and Health Management Based on Deep Learning for Autonomous Ships

  • Published:2019-06 Issue:2 Volume:68 Page:720-740
  • ISSN:0018-9529
  • Container-title:IEEE Transactions on Reliability
  • language:
  • Short-container-title:IEEE Trans. Rel.

Author:

Ellefsen Andre ListouORCID,Asoy VilmarORCID,Ushakov Sergey,Zhang HouxiangORCID

Funder

Norwegian University of Science and Technology within the Department of Ocean Operations and Civil Engineering

DigiTwin and the Research Council of Norway

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Safety, Risk, Reliability and Quality

Cited by 65 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Deep Root Cause Analysis: Unveiling Anomalies and Enhancing Fault Detection in Industrial Time Series;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Comprehensive Review of Machine Learning Techniques for Condition-Based Maintenance;International Journal of Prognostics and Health Management;2024-06-26

4. Prognostics and Health Management of Unmanned Surface Vessels: Past, Present, and Future;Journal of Computing and Information Science in Engineering;2024-06-03

5. A survey on LED Prognostics and Health Management and uncertainty reduction;Microelectronics Reliability;2024-06
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