研究论文
Leakage detection of oil and gas pipelines based on a multi-channel and multi-branch one-dimensional convolutional neural network with imbalanced samples
Dandi Yang, Peng Wang, Jingyi Lu, Chuang Guan, Hongli Dong
Northeast Petroleum University
来源Computers in Industry
年份2025
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逐年被引趋势
1370
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1326
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14
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5.51
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同类平均 = 1
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学术脉络
学科主题
工程Water Systems and Optimization
Non-Destructive Testing Techniques · Machine Fault Diagnosis Techniques
参考文献 46
Identifying maximum imbalance in datasets for fault diagnosis of gearboxes
被引 76Pedro Thiago Cutrim dos Santos, Jesús Maudes, Andrés Bustillo · Journal of Intelligent Manufacturing · 2015
Variational Mode Decomposition
被引 9,188Konstantin Dragomiretskiy, Dominique P. Zosso · IEEE Transactions on Signal Processing · 2014
Reducing the Dimensionality of Data with Neural Networks
被引 21,385Geoffrey E. Hinton, Ruslan Salakhutdinov · Science · 2006
此处列出前 3 条
引用本文 14
IMPROVING THE EFFICIENCY OF PIPELINE LEAK DETECTION SYSTEMS USING NEURAL NETWORKS
被引 1Нурбол Шмитов, Nurdaulet Teshebayev, Korlan Kulniyazova · Scientific Journal of Astana IT University · 2026
Study on pressurization paths and phase evolution of supercritical CO2 branch pipeline during commissioning
被引 1Qichang Wang, Naiya Xie, Qihang Wang · Fuel · 2026
A unified unsupervised deep learning and stride threat modeling framework for multi-domain cyber-physical security in nuclear digital twins
被引 0Mehtab Alam, Akshay Chamoli, Ashraf Ali · Frontiers in Mechanical Engineering · 2026
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