Nonlinear system identification in structural dynamics: 10 more years of progress
JP Noël, G Kerschen - Mechanical Systems and Signal Processing, 2017 - Elsevier
Nonlinear system identification is a vast research field, today attracting a great deal of
attention in the structural dynamics community. Ten years ago, an MSSP paper reviewing …
attention in the structural dynamics community. Ten years ago, an MSSP paper reviewing …
Transmissibility-based system identification for structural health Monitoring: Fundamentals, approaches, and applications
The difficulty of achieving controlled input has led to the development of new output-only
structural health monitoring (SHM) approaches. Without measuring the input or assuming a …
structural health monitoring (SHM) approaches. Without measuring the input or assuming a …
Volterra-series-based nonlinear system modeling and its engineering applications: A state-of-the-art review
CM Cheng, ZK Peng, WM Zhang, G Meng - Mechanical Systems and Signal …, 2017 - Elsevier
Nonlinear problems have drawn great interest and extensive attention from engineers,
physicists and mathematicians and many other scientists because most real systems are …
physicists and mathematicians and many other scientists because most real systems are …
Longitudinal wave scattering in thin plates with symmetric damage considering oblique incidence
The interactions between ultrasonic waves and damage provide crucial information for
developing effective damage detection techniques in various fields, including non …
developing effective damage detection techniques in various fields, including non …
Damage detection in uncertain nonlinear systems based on stochastic Volterra series
The damage detection problem in mechanical systems, using vibration measurements, is
commonly called Structural Health Monitoring (SHM). Many tools are able to detect …
commonly called Structural Health Monitoring (SHM). Many tools are able to detect …
Efficient multidimensional regularization for Volterra series estimation
G Birpoutsoukis, PZ Csurcsia, J Schoukens - Mechanical Systems and …, 2018 - Elsevier
This paper presents an efficient nonparametric time domain nonlinear system identification
method. It is shown how truncated Volterra series models can be efficiently estimated …
method. It is shown how truncated Volterra series models can be efficiently estimated …
On the application of discrete-time Volterra series for the damage detection problem in initially nonlinear systems
Nonlinearities in the dynamical behavior of mechanical systems can degrade the
performance of damage detection features based on a linearity assumption. In this article, a …
performance of damage detection features based on a linearity assumption. In this article, a …
Data-Driven Structural Health Monitoring: Leveraging Amplitude-Aware Permutation Entropy of Time Series Model Residuals for Nonlinear Damage Diagnosis
X Zhang, L Li, G Qu - Sensors, 2024 - mdpi.com
In structural health monitoring (SHM), most current methods and techniques are based on
the assumption of linear models and linear damage. However, the damage in real …
the assumption of linear models and linear damage. However, the damage in real …
Structural damage identification based on short-time temporal coherence using free-vibration response signals
This paper proposes a short-time temporal coherence (STC)-based approach for linear and
nonlinear structural damage identification. Two novel damage indices (damage detection …
nonlinear structural damage identification. Two novel damage indices (damage detection …
[HTML][HTML] Damage detection of flexural structural systems using damage index method–Experimental approach
In the framework of structural health monitoring, continuous dynamic records are essential
for good judgment of structures. Overall degradation of structures can be obtained with …
for good judgment of structures. Overall degradation of structures can be obtained with …