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Appl. Sci. 2018, 8(2), 146; https://doi.org/10.3390/app8020146

Pipeline Leak Localization Based on FBG Hoop Strain Sensors Combined with BP Neural Network

1
School of Ocean Science and Technology, Dalian University of Technology, Panjin 124221, Liaoning, China
2
Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, Liaoning, China
3
School of Civil Engineering, Shenyang Jianzhu University, Shenyang 110168, Liaoning, China
*
Author to whom correspondence should be addressed.
Received: 14 December 2017 / Revised: 11 January 2018 / Accepted: 19 January 2018 / Published: 24 January 2018
(This article belongs to the Special Issue Fiber Bragg Gratings: Fundamentals, Materials and Applications)
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Abstract

Pipelines function as blood vessels serving to bring life-necessities, so their safe usage is one of the foremost concerns. In our previous work, a fiber Bragg grating (FBG) hoop strain sensor with enhanced sensitivity was developed to measure the pressure drop induced by pipeline leakage. Some hoop strain information during the leakage transient process can be extracted from the amount of FBG hoop strain sensors set along the pipeline. In this paper, an integrated approach of a back-propagation (BP) neural network and hoop strain measurement is first proposed to locate the leak points of the pipeline. Five hoop strain variations are employed as input neurons to achieve pattern recognition so as to predict the leakage point. The RMS error can be as low as 1.01% when choosing appropriate hidden layer neurons. Furthermore, the influence of noise on the network’s performance is investigated through superimposing Gaussian noise with a different level. The results demonstrate the feasibility and robustness of the neural network for pipeline leakage localization. View Full-Text
Keywords: FBG hoop strain sensor; pipeline leakage localization; transient model; BP neural network FBG hoop strain sensor; pipeline leakage localization; transient model; BP neural network
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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. (CC BY 4.0).
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Jia, Z.; Ren, L.; Li, H.; Sun, W. Pipeline Leak Localization Based on FBG Hoop Strain Sensors Combined with BP Neural Network. Appl. Sci. 2018, 8, 146.

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