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 …

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 …

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 …

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 …

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 …

It is practical to develop a modal identification method using a decentralized sensor network
for field tests. Sparse component analysis (SCA) is a potential method in the framework of …

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 …

Response‐only identification of civil structures has attracted much attention during recent
years, as input excitations are rarely measurable for ambient vibrations. Although various …

In this paper, a novel decentralized modal identification method is proposed utilizing the
concepts of sparse blind source separation (BSS) and parallel factor decomposition. Unlike …

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 …