Empirical decomposition method for modeless component and its application to VIV analysis
Aiming at accurately distinguishing modeless component and natural vibration mode terms from data series of nonlinear and non-stationary processes, such as Vortex-Induced Vibration (VIV), a new empirical mode decomposition method has been developed in this paper. The key innovation related to this t...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2015-03-01
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| Series: | International Journal of Naval Architecture and Ocean Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2092678216300814 |
| _version_ | 1818970034166300672 |
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| author | Zheng-Shou Chen Yeon-Seok Park Li-ping Wang Wu-Joan Kim Meng Sun Qiang Li |
| author_facet | Zheng-Shou Chen Yeon-Seok Park Li-ping Wang Wu-Joan Kim Meng Sun Qiang Li |
| author_sort | Zheng-Shou Chen |
| collection | DOAJ |
| description | Aiming at accurately distinguishing modeless component and natural vibration mode terms from data series of nonlinear and non-stationary processes, such as Vortex-Induced Vibration (VIV), a new empirical mode decomposition method has been developed in this paper. The key innovation related to this technique concerns the method to decompose modeless component from non-stationary process, characterized by a predetermined ‘maximum intrinsic time window’ and cubic spline. The introduction of conceptual modeless component eliminates the requirement of using spurious harmonics to represent nonlinear and non-stationary signals and then makes subsequent modal identification more accurate and meaningful. It neither slacks the vibration power of natural modes nor aggrandizes spurious energy of modeless component. The scale of the maximum intrinsic time window has been well designed, avoiding energy aliasing in data processing. Finally, it has been applied to analyze data series of vortex-induced vibration processes. Taking advantage of this newly introduced empirical decomposition method and mode identification technique, the vibration analysis about vortex-induced vibration becomes more meaningful. |
| first_indexed | 2024-12-20T14:30:03Z |
| format | Article |
| id | doaj.art-b8ffbee670274b648b5858b8a29b587e |
| institution | Directory Open Access Journal |
| issn | 2092-6782 |
| language | English |
| last_indexed | 2024-12-20T14:30:03Z |
| publishDate | 2015-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Naval Architecture and Ocean Engineering |
| spelling | doaj.art-b8ffbee670274b648b5858b8a29b587e2022-12-21T19:37:39ZengElsevierInternational Journal of Naval Architecture and Ocean Engineering2092-67822015-03-017230131410.1515/ijnaoe-2015-0021ijnaoe-2015-0021Empirical decomposition method for modeless component and its application to VIV analysisZheng-Shou Chen0Yeon-Seok Park1Li-ping Wang2Wu-Joan Kim3Meng Sun4Qiang Li5Department of Naval Architecture and Ocean Engineering, Zhejiang Ocean University, Zhoushan, Zhejiang, China.Department of Ocean Engineering, Mokpo National University, Muan, Jeonnam, Republic of Korea.College of Mathematical Science, Ocean University of China, Qingdao, Shandong, ChinaDepartment of Ocean Engineering, Mokpo National University, Muan, Jeonnam, Republic of Korea.Department of Naval Architecture and Ocean Engineering, Zhejiang Ocean University, Zhoushan, Zhejiang, China.Department of Naval Architecture and Ocean Engineering, Zhejiang Ocean University, Zhoushan, Zhejiang, China.Aiming at accurately distinguishing modeless component and natural vibration mode terms from data series of nonlinear and non-stationary processes, such as Vortex-Induced Vibration (VIV), a new empirical mode decomposition method has been developed in this paper. The key innovation related to this technique concerns the method to decompose modeless component from non-stationary process, characterized by a predetermined ‘maximum intrinsic time window’ and cubic spline. The introduction of conceptual modeless component eliminates the requirement of using spurious harmonics to represent nonlinear and non-stationary signals and then makes subsequent modal identification more accurate and meaningful. It neither slacks the vibration power of natural modes nor aggrandizes spurious energy of modeless component. The scale of the maximum intrinsic time window has been well designed, avoiding energy aliasing in data processing. Finally, it has been applied to analyze data series of vortex-induced vibration processes. Taking advantage of this newly introduced empirical decomposition method and mode identification technique, the vibration analysis about vortex-induced vibration becomes more meaningful.http://www.sciencedirect.com/science/article/pii/S2092678216300814Empirical decompositionModeless componentModal identificationVortex-induced vibration |
| spellingShingle | Zheng-Shou Chen Yeon-Seok Park Li-ping Wang Wu-Joan Kim Meng Sun Qiang Li Empirical decomposition method for modeless component and its application to VIV analysis International Journal of Naval Architecture and Ocean Engineering Empirical decomposition Modeless component Modal identification Vortex-induced vibration |
| title | Empirical decomposition method for modeless component and its application to VIV analysis |
| title_full | Empirical decomposition method for modeless component and its application to VIV analysis |
| title_fullStr | Empirical decomposition method for modeless component and its application to VIV analysis |
| title_full_unstemmed | Empirical decomposition method for modeless component and its application to VIV analysis |
| title_short | Empirical decomposition method for modeless component and its application to VIV analysis |
| title_sort | empirical decomposition method for modeless component and its application to viv analysis |
| topic | Empirical decomposition Modeless component Modal identification Vortex-induced vibration |
| url | http://www.sciencedirect.com/science/article/pii/S2092678216300814 |
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