Nâng cao hiệu quả nhận dạng các tham số dao động dựa trên kỹ thuật tách nguồn mù

Blind source separation (BSS) based identification methods draw increasing attention as an alternative tool for operational modal analysis. However, their implementation is rare in literature, especially in cases where the number of sensors is limited (the underdetermined problem) or harmonic excitations are involved. This paper proposes an enhanced modal identification procedure based on the BSS technique to handle even the underdetermined problem or the presence of harmonic excitation. Numerical simulation and experimental example show that whether in determined situations or the presence of harmonic excitation, the proposed method performs accurate and robust identification.

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Publication Details

Journal
Vietnam Institute for Building Science and Technology
Published
2024-12-01
DOI
https://doi.org/10.59382/j-ibst.2024.vi.vol4-3
Primary Topic
Research studies in Vietnam
Type
article
Field-Weighted Citation Impact
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article

Nâng cao hiệu quả nhận dạng các tham số dao động dựa trên kỹ thuật tách nguồn mù

Dinh Huong Vu, Đức Tuân Tạ
Vietnam Institute for Building Science and Technology
Research studies in Vietnam
article

Nâng cao hiệu quả nhận dạng các tham số dao động dựa trên kỹ thuật tách nguồn mù

Dinh Huong Vu, Đức Tuân Tạ
article en

Abstract

Blind source separation (BSS) based identification methods draw increasing attention as an alternative tool for operational modal analysis. However, their implementation is rare in literature, especially in cases where the number of sensors is limited (the underdetermined problem) or harmonic excitations are involved. This paper proposes an enhanced modal identification procedure based on the BSS technique to handle even the underdetermined problem or the presence of harmonic excitation. Numerical simulation and experimental example show that whether in determined situations or the presence of harmonic excitation, the proposed method performs accurate and robust identification.

Vietnam Institute for Building Science and TechnologyVol. 2024(vi.vol4)
Le Quy Don Technical University (VN)
Openalex Percentile: Top 74%
Research studies in Vietnam
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