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A Diagnostic and Predictive Framework for Wind Turbine Drive Train Monitoring
Bach-Andersen, Martin
(PhD Student)
Winther, Ole
(Main Supervisor)
Pinson, Pierre
(Examiner)
Gram-Hansen, Klaus
(Examiner)
Giusti, Alessandro
(Examiner)
Rømer-Odgaard, Bo
(Supervisor)
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
01/03/2014
→
15/11/2017
Funding
Industrial PhD
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Data Stream
Computer Science
100%
Train Monitoring
Keyphrases
100%
Wind Turbine
Engineering
100%
Fault Detection
Computer Science
50%
Predictive Model
Computer Science
50%
Deep Learning
Computer Science
50%
Processing System
Computer Science
50%
Collected Data
Computer Science
50%
Research output
Publications per year
2018
2018
2018
1
Ph.D. thesis
Publications per year
Publications per year
A Diagnostic and Predictive Framework for Wind Turbine Drive Train Monitoring
Bach-Andersen, M.,
2018
,
Technical University of Denmark
.
111 p.
(DTU Compute PHD-2017, Vol. 449).
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Data Stream
100%
Train Monitoring
100%
Wind Turbine
100%
Diagnosis
100%
Deep Learning
100%
2400
Downloads (Pure)