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Published on: December 15, 2023

U-AttentionFlow:一种多尺度可逆的注意网络,用于使用声信号检测OLTC异常

Donghyun Kim1, Hoseong Hwang1, Hochul Kim1

  • 1Department of Medical Artificial Intelligent, Eul-Ji University, Seongnam-si 13135, Gyeonggi-do, Republic of Korea.

Sensors (Basel, Switzerland)
|October 16, 2025
PubMed
概括

及早检测到负载切换器 (OLTC) 故障对于电网稳定性至关重要. 一个新的深度学习模型U-AttentionFlow有效地使用声信号识别OLTC异常,准确率为99.15%.

关键词:
在OLTC上,OLTC是指OLTC.这就是U-Net.检测异常检测异常检测注意力机制注意力机制基于流量的模型.多级特征聚变的多级特征聚变一个类别的分类分类.

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