物联网传感器网络中基于学习的剩余使用寿命预测的预防性维护技术:调查

2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Pub Date : 2023-02-20 DOI:10.1109/ICAIIC57133.2023.10067003

Donghyun Lee, Yong-Kyu Jeon, Junsuk Oh, Chunghyun Lee, Taeyun Ha, Sungrae Cho

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引用次数: 0

摘要

本文调查了各种剩余使用寿命(RUL)研究，以实现预测和健康管理(PHM)系统，该系统使用通过物联网开发获得的大量工业数据来监测和预测机器的故障。我们引入预测技术并分析应用于航空和航运业的案例，以探讨未来可应用于各行业的RUL技术。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Preventive Maintenance Techniques through Learning-based Remaining Useful Lifetime Prediction in IoT Sensor Networks: The Survey

In this paper, various remaining useful life (RUL) studies were investigated to implement a prognostics and health management (PHM) system that monitors and predicts failures of machines using vast industrial data obtained through the development of IoT. We introduce prediction techniques and analyze cases applied to the aviation and shipping industries to investigate RUL technology that can be applied to various industries in the future.

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2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)

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