Operational Modal Analysis of an Axial Compressor Rotor and Casing System for the Online Identification of a Digital Twin
Modal parameter identification can be a valuable tool in mechanical engineering to predict vibrational behaviour and avoid machine damage during operation. Operational modal analysis is an output-only identification tool motivated by the structural identification of civil engineering structures, whi...
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Format: | Article |
Language: | English |
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MDPI AG
2022-03-01
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Series: | Applied Mechanics |
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Online Access: | https://www.mdpi.com/2673-3161/3/1/17 |
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author | Mona Amer Joerg Wallaschek Joerg R. Seume |
author_facet | Mona Amer Joerg Wallaschek Joerg R. Seume |
author_sort | Mona Amer |
collection | DOAJ |
description | Modal parameter identification can be a valuable tool in mechanical engineering to predict vibrational behaviour and avoid machine damage during operation. Operational modal analysis is an output-only identification tool motivated by the structural identification of civil engineering structures, which are excited by ambient conditions. This technique is increasingly applied in mechanical engineering in order to characterise the system behaviour during operation as modal parameters can vary under operating conditions. The following study investigates the application of operational modal analysis on an axial compressor under operating conditions. Since the modal parameters of the system change depending on the life history and during the operation of the system, a corresponding data analysis might allow us to identify the present status of the system. Eigenfrequencies and eigenvectors are studied for the use of structural health monitoring approaches. According to the analysis, eigenfrequencies represent robust parameters for the studied purpose. Eigenvectors are sensitive to damages but need further investigation, especially for rotating machinery. This study will help the user to set up a virtual model, which describes the system behaviour for different boundary conditions. This in turn, will provide an accurate prediction of the vibrational behaviour in order to assure a safe operation. |
first_indexed | 2024-03-09T20:09:46Z |
format | Article |
id | doaj.art-7bc65316e1494aeaa41ce62d0f3a06af |
institution | Directory Open Access Journal |
issn | 2673-3161 |
language | English |
last_indexed | 2024-03-09T20:09:46Z |
publishDate | 2022-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Mechanics |
spelling | doaj.art-7bc65316e1494aeaa41ce62d0f3a06af2023-11-24T00:19:18ZengMDPI AGApplied Mechanics2673-31612022-03-013124425810.3390/applmech3010017Operational Modal Analysis of an Axial Compressor Rotor and Casing System for the Online Identification of a Digital TwinMona Amer0Joerg Wallaschek1Joerg R. Seume2Institute of Turbomachinery and Fluid-Dynamics, Leibniz University Hannover, 30823 Garbsen, GermanyInstitute of Dynamics and Vibration Research, Leibniz University Hannover, 30823 Garbsen, GermanyInstitute of Turbomachinery and Fluid-Dynamics, Leibniz University Hannover, 30823 Garbsen, GermanyModal parameter identification can be a valuable tool in mechanical engineering to predict vibrational behaviour and avoid machine damage during operation. Operational modal analysis is an output-only identification tool motivated by the structural identification of civil engineering structures, which are excited by ambient conditions. This technique is increasingly applied in mechanical engineering in order to characterise the system behaviour during operation as modal parameters can vary under operating conditions. The following study investigates the application of operational modal analysis on an axial compressor under operating conditions. Since the modal parameters of the system change depending on the life history and during the operation of the system, a corresponding data analysis might allow us to identify the present status of the system. Eigenfrequencies and eigenvectors are studied for the use of structural health monitoring approaches. According to the analysis, eigenfrequencies represent robust parameters for the studied purpose. Eigenvectors are sensitive to damages but need further investigation, especially for rotating machinery. This study will help the user to set up a virtual model, which describes the system behaviour for different boundary conditions. This in turn, will provide an accurate prediction of the vibrational behaviour in order to assure a safe operation.https://www.mdpi.com/2673-3161/3/1/17operational modal analysisaxial compressormodal parametersturbomachinerystructural health monitoring |
spellingShingle | Mona Amer Joerg Wallaschek Joerg R. Seume Operational Modal Analysis of an Axial Compressor Rotor and Casing System for the Online Identification of a Digital Twin Applied Mechanics operational modal analysis axial compressor modal parameters turbomachinery structural health monitoring |
title | Operational Modal Analysis of an Axial Compressor Rotor and Casing System for the Online Identification of a Digital Twin |
title_full | Operational Modal Analysis of an Axial Compressor Rotor and Casing System for the Online Identification of a Digital Twin |
title_fullStr | Operational Modal Analysis of an Axial Compressor Rotor and Casing System for the Online Identification of a Digital Twin |
title_full_unstemmed | Operational Modal Analysis of an Axial Compressor Rotor and Casing System for the Online Identification of a Digital Twin |
title_short | Operational Modal Analysis of an Axial Compressor Rotor and Casing System for the Online Identification of a Digital Twin |
title_sort | operational modal analysis of an axial compressor rotor and casing system for the online identification of a digital twin |
topic | operational modal analysis axial compressor modal parameters turbomachinery structural health monitoring |
url | https://www.mdpi.com/2673-3161/3/1/17 |
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