Wind Turbine Hybrid Physics-based Deep Learning Model for a Health Monitoring Approach Considering Provision of Ancillary Services

Journal Article

Nezmin Kayedpour, Jixiang Qing, Jolan Wauters, Jeroen D. M. De Kooning, Ivo Couckuyt, Guillaume Crevecoeur

Wind Turbine Hybrid Physics-based Deep Learning Model for a Health Monitoring Approach Considering Provision of Ancillary Services

IEEE Transactions on Instrumentation and Measurement, Vol. 73, March 2024, Art. No. 2513814

Keywords:wind turbine; frequency containment reserve (FCR); anomaly detection; hybrid models; adaptive neuro-fuzzy inference system (ANFIS); long short-term memory (LSTM); support vector machine (SVM); temporal convolutional network (TCN)
Publication date:2024-03-11
Full-text:2024006.pdf
DOI:10.1109/tim.2024.3375416
HANDLE:1854/LU-01HRY11WRKGATBT91AP4CY7MTK
Web of Science:WOS:001196700600025