Modal Complexity Factors as indexes for modal parameter identification in operational modal analysis of coupled dynamic systems

Vibration analysis seeks to extract the modal parameters of a mechanical system by means of experimental measurements. Natural frequencies, damping ratios and mode shapes are identified from the measurements data from experimental or operational modal analysis. Modal shapes can show real or complex...

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Autores: Ibarrola Chamizo, Javier, Agirre Olabide, Iker, Merino Olagüe, Mikel, Aginaga García, Jokin
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2025
País:España
Institución:Universidad Pública de Navarra
Repositorio:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
OAI Identifier:oai:academica-e.unavarra.es:2454/52782
Acceso en línea:https://hdl.handle.net/2454/52782
Access Level:acceso embargado
Palabra clave:Modal complexity factor
Modal parameter identification
Operational modal analysis
Stochastic subspace identification
Robotic machining
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spelling Modal Complexity Factors as indexes for modal parameter identification in operational modal analysis of coupled dynamic systemsIbarrola Chamizo, JavierAgirre Olabide, IkerMerino Olagüe, MikelAginaga García, JokinModal complexity factorModal parameter identificationOperational modal analysisStochastic subspace identificationRobotic machiningVibration analysis seeks to extract the modal parameters of a mechanical system by means of experimental measurements. Natural frequencies, damping ratios and mode shapes are identified from the measurements data from experimental or operational modal analysis. Modal shapes can show real or complex values. The degree of complexity of a modal shape can be measured by the Modal Complexity Factors (MCF). Among others, modal complexity can be due to non-uniformly distributed damping. In complex mechanical systems like a robot, complex modes are expected due to its active and non distributed damping. In turn, in a metallic workpiece real modes are expected. In the robotic machining of thin workpieces, both the robot and the workpiece constitute a coupled dynamic system, operating within the same frequency range. This work proposes the use of MCFs as indexes to determine if each mode corresponds to the workpiece or the robot. Experimental results of an operational modal analysis show a lower mode complexity for the workpiece modes and a higher complexity for the robot frequencies. MCFs show a good performance in separating modes of such coupled systems due to the different damping nature of the robot and the workpiece.This work has been supported by the Government of Navarre under grant of Research and Development projects 0011-1365-2021-000080 and 0011-1365-2024-000097.ElsevierIngenieríaIngeniaritzaInstitute of Smart Cities - ISCGobierno de Navarra / Nafarroako Gobernua2025info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://hdl.handle.net/2454/52782reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarrainstname:Universidad Pública de NavarraInglésinfo:eu-repo/grantAgreement/Gobierno de Navarra//0011-1365-2021-000080info:eu-repo/grantAgreement/Gobierno de Navarra//0011-1365-2024-000097© 2025 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/embargoedAccessoai:academica-e.unavarra.es:2454/527822026-06-17T12:41:47Z
dc.title.none.fl_str_mv Modal Complexity Factors as indexes for modal parameter identification in operational modal analysis of coupled dynamic systems
title Modal Complexity Factors as indexes for modal parameter identification in operational modal analysis of coupled dynamic systems
spellingShingle Modal Complexity Factors as indexes for modal parameter identification in operational modal analysis of coupled dynamic systems
Ibarrola Chamizo, Javier
Modal complexity factor
Modal parameter identification
Operational modal analysis
Stochastic subspace identification
Robotic machining
title_short Modal Complexity Factors as indexes for modal parameter identification in operational modal analysis of coupled dynamic systems
title_full Modal Complexity Factors as indexes for modal parameter identification in operational modal analysis of coupled dynamic systems
title_fullStr Modal Complexity Factors as indexes for modal parameter identification in operational modal analysis of coupled dynamic systems
title_full_unstemmed Modal Complexity Factors as indexes for modal parameter identification in operational modal analysis of coupled dynamic systems
title_sort Modal Complexity Factors as indexes for modal parameter identification in operational modal analysis of coupled dynamic systems
dc.creator.none.fl_str_mv Ibarrola Chamizo, Javier
Agirre Olabide, Iker
Merino Olagüe, Mikel
Aginaga García, Jokin
author Ibarrola Chamizo, Javier
author_facet Ibarrola Chamizo, Javier
Agirre Olabide, Iker
Merino Olagüe, Mikel
Aginaga García, Jokin
author_role author
author2 Agirre Olabide, Iker
Merino Olagüe, Mikel
Aginaga García, Jokin
author2_role author
author
author
dc.contributor.none.fl_str_mv Ingeniería
Ingeniaritza
Institute of Smart Cities - ISC
Gobierno de Navarra / Nafarroako Gobernua
dc.subject.none.fl_str_mv Modal complexity factor
Modal parameter identification
Operational modal analysis
Stochastic subspace identification
Robotic machining
topic Modal complexity factor
Modal parameter identification
Operational modal analysis
Stochastic subspace identification
Robotic machining
description Vibration analysis seeks to extract the modal parameters of a mechanical system by means of experimental measurements. Natural frequencies, damping ratios and mode shapes are identified from the measurements data from experimental or operational modal analysis. Modal shapes can show real or complex values. The degree of complexity of a modal shape can be measured by the Modal Complexity Factors (MCF). Among others, modal complexity can be due to non-uniformly distributed damping. In complex mechanical systems like a robot, complex modes are expected due to its active and non distributed damping. In turn, in a metallic workpiece real modes are expected. In the robotic machining of thin workpieces, both the robot and the workpiece constitute a coupled dynamic system, operating within the same frequency range. This work proposes the use of MCFs as indexes to determine if each mode corresponds to the workpiece or the robot. Experimental results of an operational modal analysis show a lower mode complexity for the workpiece modes and a higher complexity for the robot frequencies. MCFs show a good performance in separating modes of such coupled systems due to the different damping nature of the robot and the workpiece.
publishDate 2025
dc.date.none.fl_str_mv 2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2454/52782
url https://hdl.handle.net/2454/52782
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/Gobierno de Navarra//0011-1365-2021-000080
info:eu-repo/grantAgreement/Gobierno de Navarra//0011-1365-2024-000097
dc.rights.none.fl_str_mv © 2025 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0
https://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/embargoedAccess
rights_invalid_str_mv © 2025 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0
https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv embargoedAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname:Universidad Pública de Navarra
instname_str Universidad Pública de Navarra
reponame_str Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
collection Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
repository.name.fl_str_mv
repository.mail.fl_str_mv
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