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用于故障诊断的深度学习分类模型及方法 被引量:2

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摘要 本文提供用于故障诊断的一种深度学习分类模型和故障诊断方法,对旋转机械建立数据集,通过深度学习对数据集进行特征提取,由网络层迭代学习故障特征,并建立深度学习分类模型来检测各类旋转设备的运行故障,提高检测精度,降低维护成本。
出处 《河南电力》 2023年第S01期51-55,共5页 Henan Electric Power
作者简介 范慧鹏(1980-),男,本科,工程师,从事火电厂机械设备状态监测及故障诊断技术研究应用。
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