Blind Source Separation Model of Earth-Rock Junctions in Dike Engineering Based on Distributed Optical Fiber Sensing Technology

Distributed temperature sensing (DTS) provides an important technology support for the earth-rock junctions of dike projects (ERJD), which are binding sites between culvert, gates, and pipes and dike body and dike foundation. In this study, a blind source separation model is used for the identificat...

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Main Authors: Huaizhi Su, Meng Yang, Kunpeng Zhao, Zhiping Wen
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Journal of Sensors
Online Access:http://dx.doi.org/10.1155/2015/281538
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spelling doaj-24d2ed17a47d402498fd58df211793cb2020-11-25T00:10:19ZengHindawi LimitedJournal of Sensors1687-725X1687-72682015-01-01201510.1155/2015/281538281538Blind Source Separation Model of Earth-Rock Junctions in Dike Engineering Based on Distributed Optical Fiber Sensing TechnologyHuaizhi Su0Meng Yang1Kunpeng Zhao2Zhiping Wen3State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, ChinaState Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, ChinaNational Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Nanjing 210098, ChinaDepartment of Computer Engineering, Nanjing Institute of Technology, Nanjing 211167, ChinaDistributed temperature sensing (DTS) provides an important technology support for the earth-rock junctions of dike projects (ERJD), which are binding sites between culvert, gates, and pipes and dike body and dike foundation. In this study, a blind source separation model is used for the identification of leakages based on the temperature data of DTS in leakage monitoring of ERJD. First, a denoising method is established based on the temperature monitoring data of distributed optical fiber in ERJD by a wavelet packet signal decomposition technique. The temperature monitoring messages of fibers are combined response for leakages and other factors. Its character of unclear responding mechanism is very obvious. Thus, a blind source separation technology is finally selected. Then, the rule of temperature measurement data for optical fiber is analyzed and its temporal and spatial change process is also discussed. The realization method of the blind source separation model is explored by combining independent component analysis (ICA) with principal component analysis (PCA). The practical test result in an example shows that the method could efficiently locate and identify the leakage location of ERJD. This paper is expected to be useful for further scientific research and efficient applications of distributed optical fiber sensing technology.http://dx.doi.org/10.1155/2015/281538
collection DOAJ
language English
format Article
sources DOAJ
author Huaizhi Su
Meng Yang
Kunpeng Zhao
Zhiping Wen
spellingShingle Huaizhi Su
Meng Yang
Kunpeng Zhao
Zhiping Wen
Blind Source Separation Model of Earth-Rock Junctions in Dike Engineering Based on Distributed Optical Fiber Sensing Technology
Journal of Sensors
author_facet Huaizhi Su
Meng Yang
Kunpeng Zhao
Zhiping Wen
author_sort Huaizhi Su
title Blind Source Separation Model of Earth-Rock Junctions in Dike Engineering Based on Distributed Optical Fiber Sensing Technology
title_short Blind Source Separation Model of Earth-Rock Junctions in Dike Engineering Based on Distributed Optical Fiber Sensing Technology
title_full Blind Source Separation Model of Earth-Rock Junctions in Dike Engineering Based on Distributed Optical Fiber Sensing Technology
title_fullStr Blind Source Separation Model of Earth-Rock Junctions in Dike Engineering Based on Distributed Optical Fiber Sensing Technology
title_full_unstemmed Blind Source Separation Model of Earth-Rock Junctions in Dike Engineering Based on Distributed Optical Fiber Sensing Technology
title_sort blind source separation model of earth-rock junctions in dike engineering based on distributed optical fiber sensing technology
publisher Hindawi Limited
series Journal of Sensors
issn 1687-725X
1687-7268
publishDate 2015-01-01
description Distributed temperature sensing (DTS) provides an important technology support for the earth-rock junctions of dike projects (ERJD), which are binding sites between culvert, gates, and pipes and dike body and dike foundation. In this study, a blind source separation model is used for the identification of leakages based on the temperature data of DTS in leakage monitoring of ERJD. First, a denoising method is established based on the temperature monitoring data of distributed optical fiber in ERJD by a wavelet packet signal decomposition technique. The temperature monitoring messages of fibers are combined response for leakages and other factors. Its character of unclear responding mechanism is very obvious. Thus, a blind source separation technology is finally selected. Then, the rule of temperature measurement data for optical fiber is analyzed and its temporal and spatial change process is also discussed. The realization method of the blind source separation model is explored by combining independent component analysis (ICA) with principal component analysis (PCA). The practical test result in an example shows that the method could efficiently locate and identify the leakage location of ERJD. This paper is expected to be useful for further scientific research and efficient applications of distributed optical fiber sensing technology.
url http://dx.doi.org/10.1155/2015/281538
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AT kunpengzhao blindsourceseparationmodelofearthrockjunctionsindikeengineeringbasedondistributedopticalfibersensingtechnology
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