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Model-based Process Surveillance and Optimization for Fault Detection and Diagnosis
Rønsch, Georg Ørnskov
(PhD Student)
Külahci, Murat
(Main Supervisor)
Sommer, Anita Friis
(Supervisor)
Stage, Hans Martin
(Supervisor)
Clemmensen, Line Katrine Harder
(Examiner)
Madsen, Ole
(Examiner)
Does, Ronald J. M. M.
(Examiner)
Statistics and Data Analysis
Department of Applied Mathematics and Computer Science
DTU Microbes Initiative
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
01/03/2019
→
28/02/2022
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Fault Diagnosis
Computer Science
100%
Industry 4.0
Computer Science
100%
Fault Detection
Computer Science
100%
Product Quality
Computer Science
100%
Fault Detection and Diagnosis
Engineering
100%
Process Data
Computer Science
66%
Business Objective
Computer Science
66%
Data Integration
Computer Science
66%
Research output
Publications per year
2022
2022
2022
1
Ph.D. thesis
Publications per year
Publications per year
Model-based Process Surveillance and Optimisation for Fault Detection and Diagnosis
Rønsch, G. Ø.,
2022
,
Technical University of Denmark
.
254 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Fault Diagnosis
100%
Industry 4.0
100%
Product Quality
100%
Fault Detection
100%
Fault Detection and Diagnosis
100%
287
Downloads (Pure)