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 …

Traditional modal analysis approaches for structural heath monitoring (SHM) have a low
implementation efficiency. This study develops an artificial intelligence (AI)-based automatic …

In this study, we propose a machine‐learning‐based approach to identify the modal
parameters of the output‐only data for structural health monitoring (SHM) that makes full use …

In this paper, a novel Successive Multivariate Variational Mode Decomposition (SMVMD) is
presented. Different from most existing multichannel signal decomposition approaches, the …

To achieve compound faults diagnosis with single channel signal, a three-dimensional
geometric features-based sparse component analysis (TGF-SCA) method is proposed …

Modal analysis is the process of estimating a system's modal parameters, such as its natural
frequencies and mode shapes. One application of modal analysis is in structural health …

Compound faults often occur simultaneously or successively due to the complexity of
intelligent mechatronic systems. The generation of such group faults will bring more …

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 …

In this article, multivariate empirical mode decomposition is proposed for damage
localization in structures using limited measurements. Multivariate empirical mode …

This paper proposes the use of density-based spatial clustering of application with noise
(DBSCAN) and the Hough transform to estimate the mixing matrix in underdetermined blind …