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This paper systematically reviews the application of deep learning in the field of fault detection in recent years. Firstly, the necessity of fault detection and the limitations of traditional methods are expounded, and then the advantages and technical breakthroughs of deep learning in fault detection are introduced. Finally, the current challenges are analyzed and the future direction is discussed, aiming to provide a comprehensive theoretical reference for relevant researchers.

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Summary of the Application of Deep Learning in Fault Detection

  • 会议论文

  • 发表日期：

    2026年

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  • Yinpan He,
  • Yake Xue,
  • Zhen Lu,
  • Di Wang

摘要

This paper systematically reviews the application of deep learning in the field of fault detection in recent years. Firstly, the necessity of fault detection and the limitations of traditional methods are expounded, and then the advantages and technical breakthroughs of deep learning in fault detection are introduced. Finally, the current challenges are analyzed and the future direction is discussed, aiming to provide a comprehensive theoretical reference for relevant researchers.