Publication:
Wind Turbine Hybrid Physics-Based Deep Learning Model for a Health Monitoring Approach Considering Provision of Ancillary Services
| dc.contributor.author | Kayedpour, Nezmin | |
| dc.contributor.author | Qing, Jixiang | |
| dc.contributor.author | Wauters, Jolan | |
| dc.contributor.author | De Kooning, Jeroen D. M. | |
| dc.contributor.author | Couckuyt, Ivo | |
| dc.contributor.author | Crevecoeur, Guillaume | |
| dc.contributor.imecauthor | Couckuyt, Ivo | |
| dc.contributor.imecauthor | Qing, Jixiang | |
| dc.contributor.orcidimec | Couckuyt, Ivo::0000-0002-9524-4205 | |
| dc.contributor.orcidimec | Qing, Jixiang::0000-0002-6446-6286 | |
| dc.date.accessioned | 2024-08-29T10:34:13Z | |
| dc.date.available | 2024-04-20T18:27:13Z | |
| dc.date.available | 2024-04-22T10:14:10Z | |
| dc.date.available | 2024-08-29T10:34:13Z | |
| dc.date.embargo | 9999-12-31 | |
| dc.date.issued | 2024 | |
| dc.description.wosFundingText | No Statement Available | |
| dc.identifier.doi | 10.1109/TIM.2024.3375416 | |
| dc.identifier.issn | 0018-9456 | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/43857 | |
| dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | |
| dc.source.beginpage | Art. 2513814 | |
| dc.source.endpage | N/A | |
| dc.source.issue | / | |
| dc.source.journal | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | |
| dc.source.numberofpages | 14 | |
| dc.source.volume | 73 | |
| dc.subject.keywords | ANOMALY DETECTION | |
| dc.subject.keywords | POWER | |
| dc.subject.keywords | LSTM | |
| dc.title | Wind Turbine Hybrid Physics-Based Deep Learning Model for a Health Monitoring Approach Considering Provision of Ancillary Services | |
| dc.type | Journal article | |
| dspace.entity.type | Publication | |
| Files | Original bundle
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