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Updated: Jan 21, 2026

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管道磁泄漏内部信号检测的定量方法,基于改进的神经网络的基础上

Guoqing Wang1, Shicheng Bei2, Yantian Zuo3

  • 1School of Information Science and Engineering, Shenyang University of Technology, Shenyang, 110870, China. wangguoqing@sut.edu.cn.

Scientific reports
|January 19, 2026
PubMed
概括

这项研究引入了一个粒子群优化-辐射基函数 (PSO-RBF) 神经网络,以使用磁流泄漏信号准确量化管道缺陷. 改进的模型显著减少了量化错误,提高了管道检查可靠性.

关键词:
缺陷量化的量化 缺陷量化的量化功能数量 功能数量磁流泄漏检测 磁流泄漏检测 磁流泄漏检测PSORBF神经网络的神经网络管道缺陷 管道缺陷

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