基于数据挖掘的人工智能在机械设备状态监测中的应用

2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT) Pub Date : 2021-12-18 DOI:10.1145/3510858.3511383

Jiacheng Tang, Ziyan Xu, Rui Li

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引用次数: 0

摘要

本文在了解设备状态监测预警技术的概念和应用的基础上，根据现有设备状态监测的多种方法，采用dl I S C和S B R两种形式对设备运行状态进行实时预测和分析，以明确人工智能理论和数据挖掘技术在机器状态监测中的应用价值。

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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Application of Artificial Intelligence Based on Data Mining in State Monitoring of Mechanical Equipment

This article in the understanding of equipment condition monitoring and early warning technique on the basis of the concept and application of, according to the existing equipment condition monitoring of a variety of methods, using L D I S C and S B R two forms of equipment running status in real time forecast and analysis, in order to clear theory of artificial intelligence and data mining technology in the application of machine condition monitoring value.

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来源期刊

2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)

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