公开一篇IEEE ComMag论文中用于预测机器故障的数据集
来源: 黄华威/
中山大学
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2020-01-26

我们于2019年3月在中科院一区杂志 IEEE Communications Magazine 发表了一篇关于预测机器故障的论文。现在公开论文里用到的机器学习数据集。请前往 HUANG-LAB@SYSU 实验室主页的【数据集】页面下载该数据集与相关的技术报告。


论文信息如下:

Huawei Huang, and Song Guo, “Proactive Failure Recovery for NFV in Distributed Edge Computing”, IEEE Communications Magazine, vol. 57, no. 5, pp. 131-137, March 2019


 This dataset can be used to implement the failure prediction using machine learning methods and AI approaches such as SVM, random forest, or deep learning algorithms. Besides the original dataset, I also provide two reports written by two visiting students when they performed a visiting-study in my lab in July 2019.


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