Optimized Algorithm for Processing Outlier of Water Current Data Measured by Acoustic Doppler Velocimeter
In the process of pond culture, the usage of an aeration device can increase dissolved oxygen density and form a decent circulation which facilitates the collection of sludge. Acoustic Doppler Velocimeter (ADV) has been widely used to monitor the flow velocity, however, factors such as bubbles and s...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-08-01
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| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/8/9/655 |
| _version_ | 1827707662693826560 |
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| author | Chunyi Zhong Fang Yin Junbo Zhang Shuo Zhang Rong Wan Daisuke Kitazawa |
| author_facet | Chunyi Zhong Fang Yin Junbo Zhang Shuo Zhang Rong Wan Daisuke Kitazawa |
| author_sort | Chunyi Zhong |
| collection | DOAJ |
| description | In the process of pond culture, the usage of an aeration device can increase dissolved oxygen density and form a decent circulation which facilitates the collection of sludge. Acoustic Doppler Velocimeter (ADV) has been widely used to monitor the flow velocity, however, factors such as bubbles and suspended particles can affect the correlation coefficient and signal-to-noise ratio of ADV, which leads to the existence of outliers in velocity data. This study constructs the three-dimensional rousseeuw phase-space (3DRPS) method by optimizing the phase space threshold method and robust estimation method through two-step filtering and three-dimensional simultaneous measurement, where the outliers close to the real value can be detected more accurately and the iterative process can be reduced more effectively. The results show that the detection rate of the optimized 3DRPS method is approximately 99%. It is a promising method that effectively improves the accuracy of outlier detection and greatly reduces the phenomenon of over processing. |
| first_indexed | 2024-03-10T16:51:40Z |
| format | Article |
| id | doaj.art-4a877cc50d0a45dfa42bbd9ec4b0f5be |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-10T16:51:40Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-4a877cc50d0a45dfa42bbd9ec4b0f5be2023-11-20T11:17:33ZengMDPI AGJournal of Marine Science and Engineering2077-13122020-08-018965510.3390/jmse8090655Optimized Algorithm for Processing Outlier of Water Current Data Measured by Acoustic Doppler VelocimeterChunyi Zhong0Fang Yin1Junbo Zhang2Shuo Zhang3Rong Wan4Daisuke Kitazawa5College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, ChinaCollege of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, ChinaCollege of Marine Sciences, Shanghai Ocean University, Shanghai 201306, ChinaCollege of Marine Sciences, Shanghai Ocean University, Shanghai 201306, ChinaCollege of Marine Sciences, Shanghai Ocean University, Shanghai 201306, ChinaInstitute of Industrial Science, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa-shi, Chiba 277-8574, JapanIn the process of pond culture, the usage of an aeration device can increase dissolved oxygen density and form a decent circulation which facilitates the collection of sludge. Acoustic Doppler Velocimeter (ADV) has been widely used to monitor the flow velocity, however, factors such as bubbles and suspended particles can affect the correlation coefficient and signal-to-noise ratio of ADV, which leads to the existence of outliers in velocity data. This study constructs the three-dimensional rousseeuw phase-space (3DRPS) method by optimizing the phase space threshold method and robust estimation method through two-step filtering and three-dimensional simultaneous measurement, where the outliers close to the real value can be detected more accurately and the iterative process can be reduced more effectively. The results show that the detection rate of the optimized 3DRPS method is approximately 99%. It is a promising method that effectively improves the accuracy of outlier detection and greatly reduces the phenomenon of over processing.https://www.mdpi.com/2077-1312/8/9/655acoustic doppler velocimeterdespikingdata processingaquaculture pond |
| spellingShingle | Chunyi Zhong Fang Yin Junbo Zhang Shuo Zhang Rong Wan Daisuke Kitazawa Optimized Algorithm for Processing Outlier of Water Current Data Measured by Acoustic Doppler Velocimeter Journal of Marine Science and Engineering acoustic doppler velocimeter despiking data processing aquaculture pond |
| title | Optimized Algorithm for Processing Outlier of Water Current Data Measured by Acoustic Doppler Velocimeter |
| title_full | Optimized Algorithm for Processing Outlier of Water Current Data Measured by Acoustic Doppler Velocimeter |
| title_fullStr | Optimized Algorithm for Processing Outlier of Water Current Data Measured by Acoustic Doppler Velocimeter |
| title_full_unstemmed | Optimized Algorithm for Processing Outlier of Water Current Data Measured by Acoustic Doppler Velocimeter |
| title_short | Optimized Algorithm for Processing Outlier of Water Current Data Measured by Acoustic Doppler Velocimeter |
| title_sort | optimized algorithm for processing outlier of water current data measured by acoustic doppler velocimeter |
| topic | acoustic doppler velocimeter despiking data processing aquaculture pond |
| url | https://www.mdpi.com/2077-1312/8/9/655 |
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