Back to Search Start Over

MEMS-Based Vibration Acquisition for Modal Parameter Identification of Substation Frame

Authors :
Ruochen Qiang
Ming Sheng
Dongxu Su
Yachen Wang
Xianghong Liu
Qing Sun
Source :
Applied Sciences, Vol 14, Iss 18, p 8190 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

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.

Details

Language :
English
ISSN :
20763417
Volume :
14
Issue :
18
Database :
Directory of Open Access Journals
Journal :
Applied Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.3d602d73b1b74e05a1eb6e585588f92b
Document Type :
article
Full Text :
https://doi.org/10.3390/app14188190