MEMS-Based Vibration Acquisition for Modal Parameter Identification of Substation Frame
As a critical component of substations, the substation frames are characterized by significant height and span, which presents substantial challenges and risks in conducting dynamic response tests using traditional sensors. To simplify these difficulties, this paper introduces an experimental method...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-09-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/18/8190 |
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| author | Ruochen Qiang Ming Sheng Dongxu Su Yachen Wang Xianghong Liu Qing Sun |
| author_facet | Ruochen Qiang Ming Sheng Dongxu Su Yachen Wang Xianghong Liu Qing Sun |
| author_sort | Ruochen Qiang |
| collection | DOAJ |
| description | As a critical component of substations, the substation frames are characterized by significant height and span, which presents substantial challenges and risks in conducting dynamic response tests using traditional sensors. To simplify these difficulties, this paper introduces an experimental method utilizing MEMS sensor-based vibration acquisition. In this approach, smartphones equipped with MEMS sensors are deployed on the target structure to collect vibration data under environmental excitation. This method was applied in a dynamic field test of a novel composite substation frame. During the test, the proposed MEMS-based vibration acquisition method was conducted in parallel with traditional ultra-low-frequency vibration acquisition methods to validate the accuracy of the MEMS data. The results demonstrated that the MEMS sensors not only simplified the testing process but also provided reliable data, offering greater advantages in testing convenience compared with traditional contact methods. The modal parameters of the substation frame, including modal frequencies, damping ratios, and mode shapes, were subsequently identified using the covariance-driven stochastic subspace identification method. The experimental methodology and findings presented in this paper offer valuable insights for structural dynamic response testing and the wind-resistant design of substation frames. |
| format | Article |
| id | doaj-art-3d602d73b1b74e05a1eb6e585588f92b |
| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-3d602d73b1b74e05a1eb6e585588f92b2025-08-20T01:55:58ZengMDPI AGApplied Sciences2076-34172024-09-011418819010.3390/app14188190MEMS-Based Vibration Acquisition for Modal Parameter Identification of Substation FrameRuochen Qiang0Ming Sheng1Dongxu Su2Yachen Wang3Xianghong Liu4Qing Sun5Economic Research Institute, State Grid Shaanxi Electric Power Company, Xi’an 710075, ChinaDepartment of Civil Engineering, Xi’an Jiaotong University, Xi’an 710064, ChinaDepartment of Civil Engineering, Xi’an Jiaotong University, Xi’an 710064, ChinaDepartment of Civil Engineering, Xi’an Jiaotong University, Xi’an 710064, ChinaDepartment of Civil Engineering, Xi’an Jiaotong University, Xi’an 710064, ChinaDepartment of Civil Engineering, Xi’an Jiaotong University, Xi’an 710064, ChinaAs a critical component of substations, the substation frames are characterized by significant height and span, which presents substantial challenges and risks in conducting dynamic response tests using traditional sensors. To simplify these difficulties, this paper introduces an experimental method utilizing MEMS sensor-based vibration acquisition. In this approach, smartphones equipped with MEMS sensors are deployed on the target structure to collect vibration data under environmental excitation. This method was applied in a dynamic field test of a novel composite substation frame. During the test, the proposed MEMS-based vibration acquisition method was conducted in parallel with traditional ultra-low-frequency vibration acquisition methods to validate the accuracy of the MEMS data. The results demonstrated that the MEMS sensors not only simplified the testing process but also provided reliable data, offering greater advantages in testing convenience compared with traditional contact methods. The modal parameters of the substation frame, including modal frequencies, damping ratios, and mode shapes, were subsequently identified using the covariance-driven stochastic subspace identification method. The experimental methodology and findings presented in this paper offer valuable insights for structural dynamic response testing and the wind-resistant design of substation frames.https://www.mdpi.com/2076-3417/14/18/8190MEMS vibration acquisitionsubstation framemodal parametersstochastic subspace identification method |
| spellingShingle | Ruochen Qiang Ming Sheng Dongxu Su Yachen Wang Xianghong Liu Qing Sun MEMS-Based Vibration Acquisition for Modal Parameter Identification of Substation Frame Applied Sciences MEMS vibration acquisition substation frame modal parameters stochastic subspace identification method |
| title | MEMS-Based Vibration Acquisition for Modal Parameter Identification of Substation Frame |
| title_full | MEMS-Based Vibration Acquisition for Modal Parameter Identification of Substation Frame |
| title_fullStr | MEMS-Based Vibration Acquisition for Modal Parameter Identification of Substation Frame |
| title_full_unstemmed | MEMS-Based Vibration Acquisition for Modal Parameter Identification of Substation Frame |
| title_short | MEMS-Based Vibration Acquisition for Modal Parameter Identification of Substation Frame |
| title_sort | mems based vibration acquisition for modal parameter identification of substation frame |
| topic | MEMS vibration acquisition substation frame modal parameters stochastic subspace identification method |
| url | https://www.mdpi.com/2076-3417/14/18/8190 |
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