Pipeline Leak Detection Method based on DTWSVM-Reference-Cited by-同舟云学术

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Pipeline Leak Detection Method based on DTWSVM

Published:2022-08-24 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Industrial Artificial Intelligence (IAI)
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Author:

Lang Xianming¹,Zhu Yongqiang¹,Zhang Lin²,Cai Zefeng³

Affiliation:

1. School of Information and Control Engineering, Liaoning Petrochemical University,Fushun,China,113001

2. PipeChina Southwest Pipeline Lan-cheng-yu oil Product Transportation Sub-Company,Chengdu,China,610036

3. North China Air Traffic Management Bureau CAAC,Beijing,China,101300

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9976494/9976496/09976575.pdf?arnumber=9976575

Reference13 articles.

1. Mutual Information Based Feature Selection for Stereo Visual Odometry

2. GPR signal denoising and target extraction with the CEEMD method;li;IEEE Geoscience Remote Sensing Letters,2015

3. Few shot learning for multi-class classification based on nested ensemble DSVM

4. Constructing energy spectrum of inorganic scintillator based on plastic scintillator by different kernel functions of SVM learning algorithm and TSC data mapping

5. Experimental investigation on vibro-acoustic techniques to detect and locate leakages in gas pipelines

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