Output-only modal identification has seen significant activity in recent years, especially in
large-scale structures where controlled input force generation is often difficult to achieve …

The safety concerns of transport infrastructure around the world have significantly increased
over the past few years and pose a significant threat to the public and economic well-being …

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 …

During these years, blind source separation (BSS) techniques have been demonstrated as a
promising tool for operational modal identification of large-scale engineering structures only …

Abstract The poly-reference Least Squares Complex Frequency-domain (pLSCF) estimator–
commercially known as the LMS PolyMAX method-has introduced an improvement in the …

Health monitoring of civil engineering structures is of paramount importance when they are
subjected to natural hazards or extreme climatic events like earthquake, strong wind gusts or …

In recent years, blind source separation (BSS) has gained significant interest in the context
of operational modal analysis, as a non-parametric alternative to the identification of …

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 …

It is highly desirable to have a reliable modal parameter estimation technique with output-
only measurements, especially for tall structures subjected to ambient wind loads. A modal …

Operational modal analysis is an experimental modal analysis approach, which uses
vibration data collected when the structure is under operating conditions. Amongst the …