Feature extraction and identification of gas–liquid two-phase flow based on fractal theory
Due to the gas–liquid two-phase flow system with nonlinear characteristics, the fractal theory has a significant impact on nonlinear analysis, so the paper proposes applying the fractal theory to characterize the fractal characteristics of two-phase flow. Firstly, it performs the mathematical morpho...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2021-04-01
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| Series: | Systems Science & Control Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/21642583.2020.1843561 |
| _version_ | 1819145882452361216 |
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| author | Chunling Fan Zhongcheng Li Qihua Fan Jiangfan Qin Miaomiao Liu |
| author_facet | Chunling Fan Zhongcheng Li Qihua Fan Jiangfan Qin Miaomiao Liu |
| author_sort | Chunling Fan |
| collection | DOAJ |
| description | Due to the gas–liquid two-phase flow system with nonlinear characteristics, the fractal theory has a significant impact on nonlinear analysis, so the paper proposes applying the fractal theory to characterize the fractal characteristics of two-phase flow. Firstly, it performs the mathematical morphology fractal dimension (MMFD) to analyse the fractal dimension of typical signals, and the box-counting dimension is employed as a comparison. The results indicate that the MMFD has better accuracy in estimating the fractal dimension of the typical signals. The MMFD can reflect the complexity and nonlinear of a chaotic system; Finally, it applies the MMFD to extract features and analyse two-phase flow characteristics. The experimental results show that the MMFD can effectively identify signals of different flow patterns, especially the transitional flow pattern, and reflect the complexity of gas–liquid two phases. |
| first_indexed | 2024-12-22T13:05:05Z |
| format | Article |
| id | doaj.art-b34721e243354e80841ece83cf741f25 |
| institution | Directory Open Access Journal |
| issn | 2164-2583 |
| language | English |
| last_indexed | 2024-12-22T13:05:05Z |
| publishDate | 2021-04-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Systems Science & Control Engineering |
| spelling | doaj.art-b34721e243354e80841ece83cf741f252022-12-21T18:24:54ZengTaylor & Francis GroupSystems Science & Control Engineering2164-25832021-04-019S1727910.1080/21642583.2020.18435611843561Feature extraction and identification of gas–liquid two-phase flow based on fractal theoryChunling Fan0Zhongcheng Li1Qihua Fan2Jiangfan Qin3Miaomiao Liu4Qingdao University of Science & TechnologyQingdao University of Science & TechnologyQingdao University of Science & TechnologyQingdao University of Science & TechnologyQingdao University of Science & TechnologyDue to the gas–liquid two-phase flow system with nonlinear characteristics, the fractal theory has a significant impact on nonlinear analysis, so the paper proposes applying the fractal theory to characterize the fractal characteristics of two-phase flow. Firstly, it performs the mathematical morphology fractal dimension (MMFD) to analyse the fractal dimension of typical signals, and the box-counting dimension is employed as a comparison. The results indicate that the MMFD has better accuracy in estimating the fractal dimension of the typical signals. The MMFD can reflect the complexity and nonlinear of a chaotic system; Finally, it applies the MMFD to extract features and analyse two-phase flow characteristics. The experimental results show that the MMFD can effectively identify signals of different flow patterns, especially the transitional flow pattern, and reflect the complexity of gas–liquid two phases.http://dx.doi.org/10.1080/21642583.2020.1843561gas–liquid two-phase flowbox-counting dimensionmmfd |
| spellingShingle | Chunling Fan Zhongcheng Li Qihua Fan Jiangfan Qin Miaomiao Liu Feature extraction and identification of gas–liquid two-phase flow based on fractal theory Systems Science & Control Engineering gas–liquid two-phase flow box-counting dimension mmfd |
| title | Feature extraction and identification of gas–liquid two-phase flow based on fractal theory |
| title_full | Feature extraction and identification of gas–liquid two-phase flow based on fractal theory |
| title_fullStr | Feature extraction and identification of gas–liquid two-phase flow based on fractal theory |
| title_full_unstemmed | Feature extraction and identification of gas–liquid two-phase flow based on fractal theory |
| title_short | Feature extraction and identification of gas–liquid two-phase flow based on fractal theory |
| title_sort | feature extraction and identification of gas liquid two phase flow based on fractal theory |
| topic | gas–liquid two-phase flow box-counting dimension mmfd |
| url | http://dx.doi.org/10.1080/21642583.2020.1843561 |
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