Structural health monitoring (SHM) is one of the most emerging approaches for early
damage detection, which leads to improved safety and efficient maintenance of large-scale …

This survey paper contains a review of the past and recent developments in system
identification of nonlinear dynamical structures. The objective is to present some of the …

Signal processing is one of the essential components in vibration-based approaches and
damage detection for structural health monitoring. Since signals in the real world are often …

Signal Processing is, arguably, the fundamental enabling technology for vibration-based
Structural Health Monitoring (SHM), which includes damage detection and more advanced …

Data used to develop and confirm models suffer from several shortcomings: the total data is
too limited, the data are non-stationary, and the data represent nonlinear processes. The …

Hilbert–Huang transform (HHT) is an innovative data-processing technique for analyzing
nonstationary and nonlinear signals. A novel HHT-based method for damage detection of …

This paper presents a signal analysis technique for machine health monitoring based on the
Hilbert-Huang Transform (HHT). The HHT represents a time-dependent series in a two …

Tuned mass dampers (TMD), active mass dampers (AMD) and hybrid mass dampers (HMD)
have been widely applied for vibration control of tall buildings and bridges in the past …

This paper focuses on the relation between the vibration modes of mechanical systems and
the modes computed through a blind source separation technique called independent …

Measured signals obtained by sensors during dynamic events such as earthquake, wind,
and wave contain nonlinear, nonstationary, and noisy properties. In this paper, a new …