Multi-resolution dynamic mode decomposition for damage detection in wind turbine gearboxes
We introduce an approach for damage detection in gearboxes based on the analysis of sensor data with the multi-resolution dynamic mode decomposition (mrDMD). The application focus is the condition monitoring of wind turbine gearboxes under varying load conditions, in particular irregular and stochas...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2023-01-01
|
| Series: | Data-Centric Engineering |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S263267362200034X/type/journal_article |
| _version_ | 1811156488731754496 |
|---|---|
| author | Paolo Climaco Jochen Garcke Rodrigo Iza-Teran |
| author_facet | Paolo Climaco Jochen Garcke Rodrigo Iza-Teran |
| author_sort | Paolo Climaco |
| collection | DOAJ |
| description | We introduce an approach for damage detection in gearboxes based on the analysis of sensor data with the multi-resolution dynamic mode decomposition (mrDMD). The application focus is the condition monitoring of wind turbine gearboxes under varying load conditions, in particular irregular and stochastic wind fluctuations. We analyze data stemming from a simulated vibration response of a simple nonlinear gearbox model in a healthy and damaged scenario and under different wind conditions. With mrDMD applied on time-delay snapshots of the sensor data, we can extract components in these vibration signals that highlight features related to damage and enable its identification. A comparison with Fourier analysis, time synchronous averaging, and empirical mode decomposition shows the advantages of the proposed mrDMD-based data analysis approach for damage detection. |
| first_indexed | 2024-04-10T04:51:26Z |
| format | Article |
| id | doaj.art-587a7a06a61f4dd7b16dc293c461ab24 |
| institution | Directory Open Access Journal |
| issn | 2632-6736 |
| language | English |
| last_indexed | 2024-04-10T04:51:26Z |
| publishDate | 2023-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Data-Centric Engineering |
| spelling | doaj.art-587a7a06a61f4dd7b16dc293c461ab242023-03-09T12:31:48ZengCambridge University PressData-Centric Engineering2632-67362023-01-01410.1017/dce.2022.34Multi-resolution dynamic mode decomposition for damage detection in wind turbine gearboxesPaolo Climaco0https://orcid.org/0000-0003-1280-4930Jochen Garcke1Rodrigo Iza-Teran2Institut für Numerische Simulation, Universität Bonn, 53115 Bonn, GermanyInstitut für Numerische Simulation, Universität Bonn, 53115 Bonn, Germany Fraunhofer SCAI, Department Numerical Data-Driven Prediction, 53754 Sankt Augustin, GermanyFraunhofer SCAI, Department Numerical Data-Driven Prediction, 53754 Sankt Augustin, GermanyWe introduce an approach for damage detection in gearboxes based on the analysis of sensor data with the multi-resolution dynamic mode decomposition (mrDMD). The application focus is the condition monitoring of wind turbine gearboxes under varying load conditions, in particular irregular and stochastic wind fluctuations. We analyze data stemming from a simulated vibration response of a simple nonlinear gearbox model in a healthy and damaged scenario and under different wind conditions. With mrDMD applied on time-delay snapshots of the sensor data, we can extract components in these vibration signals that highlight features related to damage and enable its identification. A comparison with Fourier analysis, time synchronous averaging, and empirical mode decomposition shows the advantages of the proposed mrDMD-based data analysis approach for damage detection.https://www.cambridge.org/core/product/identifier/S263267362200034X/type/journal_articleCondition monitoringdamage detectiondata analysisdynamic mode decompositiontime-varying loadswind turbine gearboxes |
| spellingShingle | Paolo Climaco Jochen Garcke Rodrigo Iza-Teran Multi-resolution dynamic mode decomposition for damage detection in wind turbine gearboxes Data-Centric Engineering Condition monitoring damage detection data analysis dynamic mode decomposition time-varying loads wind turbine gearboxes |
| title | Multi-resolution dynamic mode decomposition for damage detection in wind turbine gearboxes |
| title_full | Multi-resolution dynamic mode decomposition for damage detection in wind turbine gearboxes |
| title_fullStr | Multi-resolution dynamic mode decomposition for damage detection in wind turbine gearboxes |
| title_full_unstemmed | Multi-resolution dynamic mode decomposition for damage detection in wind turbine gearboxes |
| title_short | Multi-resolution dynamic mode decomposition for damage detection in wind turbine gearboxes |
| title_sort | multi resolution dynamic mode decomposition for damage detection in wind turbine gearboxes |
| topic | Condition monitoring damage detection data analysis dynamic mode decomposition time-varying loads wind turbine gearboxes |
| url | https://www.cambridge.org/core/product/identifier/S263267362200034X/type/journal_article |
| work_keys_str_mv | AT paoloclimaco multiresolutiondynamicmodedecompositionfordamagedetectioninwindturbinegearboxes AT jochengarcke multiresolutiondynamicmodedecompositionfordamagedetectioninwindturbinegearboxes AT rodrigoizateran multiresolutiondynamicmodedecompositionfordamagedetectioninwindturbinegearboxes |