A Small Leak Detection Method Based on VMD Adaptive De-Noising and Ambiguity Correlation Classification Intended for Natural Gas Pipelines
In this study, a small leak detection method based on variational mode decomposition (VMD) and ambiguity correlation classification (ACC) is proposed. The signals acquired from sensors were decomposed using the VMD, and numerous components were obtained. According to the probability density function...
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| Format: | Article |
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MDPI AG
2016-12-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/16/12/2116 |
| _version_ | 1828120353754316800 |
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| author | Qiyang Xiao Jian Li Zhiliang Bai Jiedi Sun Nan Zhou Zhoumo Zeng |
| author_facet | Qiyang Xiao Jian Li Zhiliang Bai Jiedi Sun Nan Zhou Zhoumo Zeng |
| author_sort | Qiyang Xiao |
| collection | DOAJ |
| description | In this study, a small leak detection method based on variational mode decomposition (VMD) and ambiguity correlation classification (ACC) is proposed. The signals acquired from sensors were decomposed using the VMD, and numerous components were obtained. According to the probability density function (PDF), an adaptive de-noising algorithm based on VMD is proposed for noise component processing and de-noised components reconstruction. Furthermore, the ambiguity function image was employed for analysis of the reconstructed signals. Based on the correlation coefficient, ACC is proposed to detect the small leak of pipeline. The analysis of pipeline leakage signals, using 1 mm and 2 mm leaks, has shown that proposed detection method can detect a small leak accurately and effectively. Moreover, the experimental results have shown that the proposed method achieved better performances than support vector machine (SVM) and back propagation neural network (BP) methods. |
| first_indexed | 2024-04-11T14:03:36Z |
| format | Article |
| id | doaj.art-58fe772190ec46059ccee0fe8d0f3cca |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T14:03:36Z |
| publishDate | 2016-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-58fe772190ec46059ccee0fe8d0f3cca2022-12-22T04:19:58ZengMDPI AGSensors1424-82202016-12-011612211610.3390/s16122116s16122116A Small Leak Detection Method Based on VMD Adaptive De-Noising and Ambiguity Correlation Classification Intended for Natural Gas PipelinesQiyang Xiao0Jian Li1Zhiliang Bai2Jiedi Sun3Nan Zhou4Zhoumo Zeng5State Key Laboratory of Precision Measurement Technology and Instrument, Tianjin University, Tianjin 300072, ChinaState Key Laboratory of Precision Measurement Technology and Instrument, Tianjin University, Tianjin 300072, ChinaState Key Laboratory of Precision Measurement Technology and Instrument, Tianjin University, Tianjin 300072, ChinaSchool of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, ChinaState Key Laboratory of Precision Measurement Technology and Instrument, Tianjin University, Tianjin 300072, ChinaState Key Laboratory of Precision Measurement Technology and Instrument, Tianjin University, Tianjin 300072, ChinaIn this study, a small leak detection method based on variational mode decomposition (VMD) and ambiguity correlation classification (ACC) is proposed. The signals acquired from sensors were decomposed using the VMD, and numerous components were obtained. According to the probability density function (PDF), an adaptive de-noising algorithm based on VMD is proposed for noise component processing and de-noised components reconstruction. Furthermore, the ambiguity function image was employed for analysis of the reconstructed signals. Based on the correlation coefficient, ACC is proposed to detect the small leak of pipeline. The analysis of pipeline leakage signals, using 1 mm and 2 mm leaks, has shown that proposed detection method can detect a small leak accurately and effectively. Moreover, the experimental results have shown that the proposed method achieved better performances than support vector machine (SVM) and back propagation neural network (BP) methods.http://www.mdpi.com/1424-8220/16/12/2116pipeline small leakage detectionvariational mode decompositionadaptive de-noising methodambiguity correlation classification |
| spellingShingle | Qiyang Xiao Jian Li Zhiliang Bai Jiedi Sun Nan Zhou Zhoumo Zeng A Small Leak Detection Method Based on VMD Adaptive De-Noising and Ambiguity Correlation Classification Intended for Natural Gas Pipelines Sensors pipeline small leakage detection variational mode decomposition adaptive de-noising method ambiguity correlation classification |
| title | A Small Leak Detection Method Based on VMD Adaptive De-Noising and Ambiguity Correlation Classification Intended for Natural Gas Pipelines |
| title_full | A Small Leak Detection Method Based on VMD Adaptive De-Noising and Ambiguity Correlation Classification Intended for Natural Gas Pipelines |
| title_fullStr | A Small Leak Detection Method Based on VMD Adaptive De-Noising and Ambiguity Correlation Classification Intended for Natural Gas Pipelines |
| title_full_unstemmed | A Small Leak Detection Method Based on VMD Adaptive De-Noising and Ambiguity Correlation Classification Intended for Natural Gas Pipelines |
| title_short | A Small Leak Detection Method Based on VMD Adaptive De-Noising and Ambiguity Correlation Classification Intended for Natural Gas Pipelines |
| title_sort | small leak detection method based on vmd adaptive de noising and ambiguity correlation classification intended for natural gas pipelines |
| topic | pipeline small leakage detection variational mode decomposition adaptive de-noising method ambiguity correlation classification |
| url | http://www.mdpi.com/1424-8220/16/12/2116 |
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