首页|基于多尺度一维卷积自编码器的输气管道泄漏判别

基于多尺度一维卷积自编码器的输气管道泄漏判别

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原文链接
  • NETL
  • NSTL
  • 万方数据
  • 维普
针对声发射输气管道不同泄漏信号难以判别的问题,提出了一种基于多尺度一维卷积自编码器的输气管道泄漏判别方法.利用多尺度一维卷积自编码器对信号特征进行无监督学习训练,提取数据特征信息,通过多尺度的卷积层和池化层对数据特征信息进行学习,最后,输出管道泄漏判别结果.实验结果表明:该自编码器能够精确判断不同类型的管道泄漏,准确率达到 97.13%.通过与其他自编码器进行对比验证了该自编码器在泄漏判别方面的准确性.
Gas Pipeline Leakage Identification Based on Multi-scale One-dimensional Convolution Adaptive Encoder
Aiming at the problem that it is difficult to distinguish different leakage signals of acoustic emission gas transmission pipeline,a multi-scale one-dimensional convolution adaptive encoder for gas transmission pipeline leakage identification was pro-posed.Multi-scale one-dimensional convolution adaptive encoder were used to conduct unsupervised learning training on signal features,extract data feature information,and learn data feature information through multi-scale convolution layer and pooling layer.Finally,the results of pipeline leakage discrimination were output.Experimental results show that the adaptive encoder can accurately judge different types of pipeline leakage with an accuracy of 97.13%.The accuracy of this adaptive encoder in leakage distinguish is verified by comparing with other adaptive encoder.

gas pipelineacoustic emissionleakage distinguishconvolution adaptive encoder

田佳慧、郎宪明、隋东冶

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辽宁石油化工大学信息与控制工程学院

输气管道 声发射 泄漏判别 卷积自编码器

国家自然科学基金项目国家自然科学基金项目中国博士后科学基金资助项目辽宁省博士科研启动基金计划项目辽宁省教育厅项目大学生创新创业训练计划项目

61673199620731582020M6601252019-BS-1582019XHHL-008202210148019

2024

管道技术与设备
沈阳仪表科学研究院

管道技术与设备

影响因子：0.504
ISSN：1004-9614
年,卷(期)：2024.(1)
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