Identification of Modal Parameters of Coupled Rotor Foundation System via Automatic Operational Modal Analysis

Nathali Dreher*, Tiago Machado, Thomas Paulsen, Ilmar Santos

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

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 past decades, research has been made to enable the application of OMA in rotating machines, dealing with challenges such as harmonic excitation, nonlinearities, and the lack of proper excitation. With the popularization of machine learning techniques, many researchers have been using these tools to overcome some challenges in this research field. Clustering techniques, that can group information about datasets without prior knowledge of their characteristics, has been used along with statistical methods to automate OMA so that it can be used for condition monitoring. Recently, automatic OMA (AOMA) was applied to rotating machinery data. This paper evaluates one of these AOMA algorithms, successfully tested with data from a test rig with a rotor supported by hydrodynamic bearings, in a more complex dataset, with data from a rotor supported by magnetic bearings and influenced by gas seal. The results show that the proposed algorithm can extract modal parameters close to the ones extracted by EMA and by the mathematical modeling of the test rig, being robust even when a more complex system is analyzed.
Original languageEnglish
Title of host publicationAdvances in Structural Vibration : Selected works from COBEM 2023
EditorsP. Kurka, M. Pereira
Place of PublicationCham
PublisherSpringer
Publication date2025
Pages95-109
ISBN (Print)978-3-031-71539-6
ISBN (Electronic)978-3-031-71540-2
DOIs
Publication statusPublished - 2025
Event27th International Congress of Mechanical Engineering: Tailoring the future - Florianópolis, Brazil
Duration: 4 Dec 20238 Dec 2023

Conference

Conference27th International Congress of Mechanical Engineering
Country/TerritoryBrazil
CityFlorianópolis
Period04/12/202308/12/2023
SeriesLecture Notes in Mechanical Engineering
ISSN2195-4356

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