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Updated: Jun 4, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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基于振动信号的泛写仪缺陷分类研究

Vytautas Gargasas1, Kęstas Rimkus1, Mindaugas Alekna1

  • 1Faculty of Electrical and Electronics Engineering, Kaunas University of Technology, LT-51367 Kaunas, Lithuania.

Sensors (Basel, Switzerland)
|December 17, 2024
PubMed
概括

这项研究引入了一种新的统计方法,使用自相对应转换来分析泛相机振动. 该技术有效地对机械振动进行分类,区分健康和有缺陷的输电机表面,并识别特定的缺陷.

关键词:
梅尔的光谱图显示了分类特征:分类特征是指分类的特征.卷积神经网络是一种卷积神经网络.列车泛图仪列车泛图仪列车泛图仪列车泛图仪

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