Toggle navigation
My submissions
Login
Toggle navigation
View item
imec Publications Repository
imec Publications
Articles
View item
imec Publications Repository
imec Publications
Articles
View item
JavaScript is disabled for your browser. Some features of this site may not work without it.
Wind Turbine Hybrid Physics-Based Deep Learning Model for a Health Monitoring Approach Considering Provision of Ancillary Services
View/
open
Published version (4.443Mb)
Metadata
Show full item record
Authors
Kayedpour, Nezmin
;
Qing, Jixiang
;
Wauters, Jolan
;
De Kooning, Jeroen D. M.
;
Couckuyt, Ivo
;
Crevecoeur, Guillaume
DOI
10.1109/TIM.2024.3375416
ISSN
0018-9456
Issue
/
Journal
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Volume
73
Title
Wind Turbine Hybrid Physics-Based Deep Learning Model for a Health Monitoring Approach Considering Provision of Ancillary Services
Publication type
Journal article
Embargo date
9999-12-31
Collections
Articles
Version history
Version
Item
Date
Summary
3
20.500.12860/43857.3
*
2024-08-29T10:32:03Z
validation by library/open access desk
2
20.500.12860/43857.2
2024-04-22T09:59:27Z
validation by imec author
1
20.500.12860/43857
2024-04-20T18:27:13Z
*Selected version
Search imec Publications Repository
This collection
Browse
All of imec Publications Repository
Collections
Publication date
Authors
Titles
Subjects
imec author
Availability
Publication type
This collection
Publication date
Authors
Titles
Subjects
imec author
Availability
Publication type
My account
login