Sparse component analysis (SCA) has been introduced to the output-only modal
identification for several years. This paper proposes a new method based on hierarchical …

Sparse component analysis (SCA) approach was adopted to handle underdetermined blind
modal identification of structures, where the number of sensors is less than the number of …

Blind source separation (BSS) based methods have been shown to be efficient and powerful
to perform output-only modal identification. Existing BSS modal identification methods …

Blind source separation receives increasing attention as an alternative tool for operational
modal analysis in civil applications. However, the implementations on real-life structures in …

Output-only modal identification plays an important role in the structural health monitoring of
large-scale structures. In recent years, blind source separation (BSS) has achieved great …

This paper proposes a blind source separation (BSS) based modal parameter identification
method. A density-based clustering algorithm is introduced to estimate the mode shapes …

Output‐only modal identification with limited sensors available may be encountered in
practical applications. Sparse component analysis (SCA), which is one of the most popular …

In this study, a new method is proposed to identify the dynamic parameters of structures with
higher accuracy compared to current methods. First, the wavelet-transformed representation …

Based on the multi-scale chirp let sparse signal decomposition (MCSSD), a method for
modal parameters identification of time-varying systems is proposed. In the proposed …

Modal identification performs one of the most important roles in structural dynamics analysis
and structural health monitoring, especially when the input excitations are not measurable …