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首页> 外文期刊>Network Daily News >Kangwon National University Researchers Provide New Insights into Information and Data Preprocessing (Effect of data preprocessing methods and hyperparameters on accuracy of ball bearing fault detection based on deep learning)
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Kangwon National University Researchers Provide New Insights into Information and Data Preprocessing (Effect of data preprocessing methods and hyperparameters on accuracy of ball bearing fault detection based on deep learning)

机译:Kangwon国立大学研究人员提供信息和数据的新见解预处理(数据预处理的效果方法和hyperparameters球的准确性轴承故障检测基于深度学习)

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By a News Reporter-Staff News Editor at Network Daily News – Research findings on information and data preprocessing are discussed in a new report. According to news originating from Gangwon Do, South Korea, by NewsRx editors, the research stated, “This paper presents the effect of data preprocessing methods and hyperparameters in deep learning on the accuracy of ball bearing fault detection. In this study, artificial defects in the ball bearing were created to obtain the machine learning data for ball bearing fault detection.” Financial supporters for this research include korea institute for advancement of technology Funder DOI: 10.13039/501100003661 Award: P0002092 National Research Foundation of Korea Funder DOI: 10.13039/501100003725 Award: NRF-2020R1F1A1072693.
机译:由一个新闻记者在网络新闻编辑每日新闻,信息和研究成果在一份新报告中数据预处理进行了讨论。据新闻来自江原道,韩国,NewsRx编辑器的研究说:“本文数据的影响预处理方法和hyperparameters深学习在滚珠轴承故障的准确性检测。球轴承是获取创建的球轴承故障的机器学习数据检测。”研究包括韩国发展研究所技术的资助者DOI: 10.13039 / 501100003661奖:P0002092国家研究的基础韩国资助者DOI: 10.13039 / 501100003725奖:NRF-2020R1F1A1072693。

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