Removal of non-stationary harmonics for operational modal analysis in time and frequency domain

PJ Daems, C Peeters, P Guillaume, J Helsen - Mechanical Systems and …, 2022 - Elsevier
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 …

Experimental and operational modal analysis: Automated system identification for safety-critical applications

R Volkmar, K Soal, Y Govers, M Böswald - Mechanical Systems and Signal …, 2023 - Elsevier
Safety-critical applications like the evaluation of aeroelastic stability during aircraft flight
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 …

Constrained maximum likelihood modal parameter identification applied to structural dynamics

M El-Kafafy, B Peeters, P Guillaume… - Mechanical Systems and …, 2016 - Elsevier
A new modal parameter estimation method to directly establish modal models of structural
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) …

An analytical perspective on Bayesian uncertainty quantification and propagation in mode shape assembly

WJ Yan, C Papadimitriou, LS Katafygiotis… - … Systems and Signal …, 2020 - Elsevier
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 …

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 …

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 …

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 …

Experimental acoustic modal analysis of an automotive cabin

G Accardo, M El-kafafy, B Peeters, F Bianciardi… - … Rotating Machinery, and …, 2015 - Springer
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 …