Removal of non-stationary harmonics for operational modal analysis in time and frequency domain
Abstract Operational Modal Analysis allows to assess the modal model of rotating
machinery. However, it is needed to pre-process the measured vibration data such that the …
machinery. However, it is needed to pre-process the measured vibration data such that the …
Experimental and operational modal analysis: Automated system identification for safety-critical applications
Safety-critical applications like the evaluation of aeroelastic stability during aircraft flight
require modal parameters identified with high accuracy. Promising methods of automated …
require modal parameters identified with high accuracy. Promising methods of automated …
Automated modal parameter estimation using correlation analysis and bootstrap sampling
V Yaghoubi, MK Vakilzadeh… - Mechanical Systems and …, 2018 - Elsevier
The estimation of modal parameters from a set of noisy measured data is a highly
judgmental task, with user expertise playing a significant role in distinguishing between …
judgmental task, with user expertise playing a significant role in distinguishing between …
Constrained maximum likelihood modal parameter identification applied to structural dynamics
A new modal parameter estimation method to directly establish modal models of structural
dynamic systems satisfying two physically motivated constraints will be presented. The …
dynamic systems satisfying two physically motivated constraints will be presented. The …
Maximum likelihood identification of Wiener–Hammerstein models
A Haryanto, KS Hong - Mechanical Systems and Signal Processing, 2013 - Elsevier
Abstract The Wiener–Hammerstein (WH) model in discrete form is a cascaded connection of
three blocks including a linear dynamics block, a static nonlinearity block, and a (secondary) …
three blocks including a linear dynamics block, a static nonlinearity block, and a (secondary) …
An analytical perspective on Bayesian uncertainty quantification and propagation in mode shape assembly
Assembling local mode shapes identified from multiple setups to form global mode shapes
is of practical importance when the degrees of freedom (dofs) of interest are measured …
is of practical importance when the degrees of freedom (dofs) of interest are measured …
Probabilistic investigation of error propagation in frequency domain decomposition‐based operational modal analysis
Ç Hızal, E Aktaş - Structural control and health monitoring, 2021 - Wiley Online Library
Each operational modal analysis (OMA) technique may produce significant errors during the
identification procedure due to the applied methodology, environmental/operational …
identification procedure due to the applied methodology, environmental/operational …
FRF-based probabilistic modal parameter identification of structures with known seismic input
Ç Hızal - Mechanical Systems and Signal Processing, 2023 - Elsevier
In this study, an FRF based Bayesian approach is presented for modal identification of civil
structures with known seismic input. The proposed method utilizes the statistical properties …
structures with known seismic input. The proposed method utilizes the statistical properties …
An analytical investigation into the propagation properties of uncertainty in a two-stage fast Bayesian spectral density approach for ambient modal analysis
WJ Yan, LS Katafygiotis - Mechanical systems and signal processing, 2019 - Elsevier
This paper investigates the uncertainty propagation properties of a two-stage fast Bayesian
spectral density approach (two-stage fast BSDA) with separated modes proposed previously …
spectral density approach (two-stage fast BSDA) with separated modes proposed previously …
Experimental acoustic modal analysis of an automotive cabin
In the automotive industry, one of the most important comfort requirements in designing a
high quality vehicle is to avoid or minimize the noise in the passenger compartment …
high quality vehicle is to avoid or minimize the noise in the passenger compartment …