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Wireless Communications and Mobile Computing
Volume 2018, Article ID 6934825, 8 pages
https://doi.org/10.1155/2018/6934825
Research Article

Pipeline Leak Aperture Recognition Based on Wavelet Packet Analysis and a Deep Belief Network with ICR

1School of Information and Control Engineering, Liaoning Shihua University, Fushun 113001, China
2School of Automation, Northwestern Polytechnical University, Xi’an 710072, China
3School of Petrochemical Engineering, Liaoning Shihua University, Fushun 113001, China
4CNPC Northeast Refining & Chemical Engineering Co. Ltd. Shenyang Company, Shenyang 110167, China

Correspondence should be addressed to Zhiyong Hu; moc.361@420gnoyihzuh

Received 5 April 2018; Accepted 27 June 2018; Published 16 August 2018

Academic Editor: Houbing Song

Copyright © 2018 Xianming Lang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Xianming Lang, Zhiyong Hu, Ping Li, Yan Li, Jiangtao Cao, and Hong Ren, “Pipeline Leak Aperture Recognition Based on Wavelet Packet Analysis and a Deep Belief Network with ICR,” Wireless Communications and Mobile Computing, vol. 2018, Article ID 6934825, 8 pages, 2018. https://doi.org/10.1155/2018/6934825.