Investigation of Modal Identification of Frame Structures Using Blind Source Separation Technique Based on Vibration Data
This paper investigates system identification algorithms for modal identification of frame structures, such as a suspension bridge and an overhead transmission line-crossing frame, using ambient vibration measurements. The modal identification procedures include two novel blind source separation (BS...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-06-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/13/12/7249 |
| _version_ | 1797596260758192128 |
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| author | Fanhao Meng Yong Ma Yongjun Xia Yimin Ma Ming Jiang |
| author_facet | Fanhao Meng Yong Ma Yongjun Xia Yimin Ma Ming Jiang |
| author_sort | Fanhao Meng |
| collection | DOAJ |
| description | This paper investigates system identification algorithms for modal identification of frame structures, such as a suspension bridge and an overhead transmission line-crossing frame, using ambient vibration measurements. The modal identification procedures include two novel blind source separation (BSS) algorithms, complexity pursuit method (CP) and generalized eigen decomposition method (GED), based on modern signal processing technology. Here, the frequency response function (FRF) method is introduced as an important reference to verify the effectiveness of the CP algorithm and GED algorithm. The effectiveness and accuracy of both types of algorithms are verified by numerical simulations and experiments on a suspension bridge. In addition, an engineering application of these two BSS methods is successfully implemented in an overhead transmission line-crossing frame. The results show that the two novel BSS learning rules (CP and GED) are capable of successfully identifying modal parameters of the civil structure under ambient excitation. |
| first_indexed | 2024-03-11T02:48:01Z |
| format | Article |
| id | doaj.art-bc706bf8975e4cd498d301dcb14f7b98 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T02:48:01Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-bc706bf8975e4cd498d301dcb14f7b982023-11-18T09:11:14ZengMDPI AGApplied Sciences2076-34172023-06-011312724910.3390/app13127249Investigation of Modal Identification of Frame Structures Using Blind Source Separation Technique Based on Vibration DataFanhao Meng0Yong Ma1Yongjun Xia2Yimin Ma3Ming Jiang4China Electric Power Research Institute, Beijing 100192, ChinaChina Electric Power Research Institute, Beijing 100192, ChinaChina Electric Power Research Institute, Beijing 100192, ChinaChina Electric Power Research Institute, Beijing 100192, ChinaChina Electric Power Research Institute, Beijing 100192, ChinaThis paper investigates system identification algorithms for modal identification of frame structures, such as a suspension bridge and an overhead transmission line-crossing frame, using ambient vibration measurements. The modal identification procedures include two novel blind source separation (BSS) algorithms, complexity pursuit method (CP) and generalized eigen decomposition method (GED), based on modern signal processing technology. Here, the frequency response function (FRF) method is introduced as an important reference to verify the effectiveness of the CP algorithm and GED algorithm. The effectiveness and accuracy of both types of algorithms are verified by numerical simulations and experiments on a suspension bridge. In addition, an engineering application of these two BSS methods is successfully implemented in an overhead transmission line-crossing frame. The results show that the two novel BSS learning rules (CP and GED) are capable of successfully identifying modal parameters of the civil structure under ambient excitation.https://www.mdpi.com/2076-3417/13/12/7249modal identificationblind source separationcomplexity pursuitgeneralized eigen decompositionsuspension bridgesoverhead transmission line-crossing frame |
| spellingShingle | Fanhao Meng Yong Ma Yongjun Xia Yimin Ma Ming Jiang Investigation of Modal Identification of Frame Structures Using Blind Source Separation Technique Based on Vibration Data Applied Sciences modal identification blind source separation complexity pursuit generalized eigen decomposition suspension bridges overhead transmission line-crossing frame |
| title | Investigation of Modal Identification of Frame Structures Using Blind Source Separation Technique Based on Vibration Data |
| title_full | Investigation of Modal Identification of Frame Structures Using Blind Source Separation Technique Based on Vibration Data |
| title_fullStr | Investigation of Modal Identification of Frame Structures Using Blind Source Separation Technique Based on Vibration Data |
| title_full_unstemmed | Investigation of Modal Identification of Frame Structures Using Blind Source Separation Technique Based on Vibration Data |
| title_short | Investigation of Modal Identification of Frame Structures Using Blind Source Separation Technique Based on Vibration Data |
| title_sort | investigation of modal identification of frame structures using blind source separation technique based on vibration data |
| topic | modal identification blind source separation complexity pursuit generalized eigen decomposition suspension bridges overhead transmission line-crossing frame |
| url | https://www.mdpi.com/2076-3417/13/12/7249 |
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