Automated operational modal analysis for rotating machinery based on clustering techniques

NR Dreher, GC Storti, TH Machado - Sensors, 2023 - mdpi.com
Many parameters can be used to express a machine's condition and to track its evolution
through time, such as modal parameters extracted from vibration signals. Operational Modal …

Vibration Signal Evaluation Based on K-Means Clustering as a Pre-Stage of Operational Modal Analysis for Structural Health Monitoring of Rotating Machines

NR Dreher, GC Storti, TH Machado - Energies, 2023 - mdpi.com
Rotating machines are key components in energy generation processes, and faults can lead
to shutdowns or catastrophes encompassing economic and social losses. Structural Health …

[HTML][HTML] Automated modal parameter estimation for coupled rotor–foundation systems using seal forces as excitation source

TT Paulsen, SV Damsgaard, IF Santos - Mechanical Systems and Signal …, 2024 - Elsevier
Modal analysis techniques are widely used to characterize vibrations in structures, vehicles,
machinery, etc. Modal parameters obtained through modal analysis are useful for structural …

Automated uncertainty-based clustering and tracking of modal parameters under strong variations

J Priou, S Greś, A Mendler, M Perrault… - International Operational …, 2024 - Springer
The interpretation of stabilization diagrams and the tracking of modes over time are classical
tasks in operational modal analysis. In this work, we present a method based on a greedy …

[HTML][HTML] A robust probabilistic approach to stochastic subspace identification

BJ O'Connell, TJ Rogers - Journal of Sound and Vibration, 2024 - Elsevier
Modal parameter estimation of operational structures is often a challenging task when
confronted with unwanted distortions (outliers) in field measurements. Atypical observations …

A new perspective on Bayesian Operational Modal Analysis

BJ O'Connell, MD Champneys, TJ Rogers - arXiv preprint arXiv …, 2024 - arxiv.org
In the field of operational modal analysis (OMA), obtained modal information is frequently
used to assess the current state of aerospace, mechanical, offshore and civil structures …

Quantification of statistical uncertainties in subspace-based operational modal analysis and their applications

M Döhler - IOMAC 2022-9th International Operational Modal …, 2022 - inria.hal.science
Modal parameters are estimated from vibration data, thus they are inherently afflicted with
statistical uncertainties due to the unknown ambient excitation and measurement noise …

Operational Modal Analysis (OMA) for wind turbines health monitoring

A Cadoret - 2023 - theses.hal.science
In this thesis, the objective is to monitor the wind turbine without stopping or interfering with
its operation. So, the monitoring of operating wind turbines with Operational Modal Analysis …

Novel Dynamic Testing & Analysis Techniques for Rotating Machinery-Theory & Experiment

TT Paulsen - 2023 - orbit.dtu.dk
In the last decades and more recent years, motivated by the Industry 4.0 framework, health
condition monitoring of rotating machines based on vibration measurements and changes of …

[PDF][PDF] COB-2023-1734 IDENTIFICATION OF MODAL PARAMETERS OF COUPLED ROTOR FOUNDATION SYSTEM VIA AUTOMATIC OPERATIONAL MODAL …

N Dreher, T Machado, T Paulsen, I Santos - researchgate.net
Operational Modal Analysis (OMA) extracts modal parameters of systems that are excited by
unknown ambiental excitation, being broadly used in the monitoring of civil structures. In the …