Login
EN
[EN] English
[FR] Français
Login
EN
[EN] English
[FR] Français
Give us feedback
Explore
Search
Special collections
Statistics
News
Help
Start on ORBi
Deposit
Profile
Publication List
Add your ORCID
Tutorials
Legal Information
Training sessions
About
What's ORBi ?
Impact and visibility
Around ORBi
About statistics
About metrics
OAI-PMH
ORBi team
Release Notes
Back
Home
Detailled Reference
Request a copy
Eprint first made available on ORBi (E-prints, working papers and research blog)
Predictive Maintenance of Technical Faults Using Machine Learning : A Case Study in Air Transport
Peters, Florian
;
Aerts, Stéphanie
;
Schyns, Michael
2020
Permalink
https://hdl.handle.net/2268/251092
Files (1)
Send to
Details
Statistics
Bibliography
Similar publications
Files
Full Text
draft 23-09-2020.pdf
Author preprint (602.8 kB)
Request a copy
All documents in ORBi are protected by a
user license
.
Send to
RIS
BibTex
APA
Chicago
Permalink
X
Linkedin
copy to clipboard
copied
Details
Keywords :
predictive maintenance; machine learning; operations research; air transport; industry 4.0
Disciplines :
Quantitative methods in economics & management
Author, co-author :
Peters, Florian
;
Université de Liège - ULiège > HEC Liège : UER > UER Opérations
Aerts, Stéphanie
;
Université de Liège - ULiège > HEC Liège : UER > UER Opérations
Schyns, Michael
;
Université de Liège - ULiège > HEC Liège : UER > UER Opérations : Informatique de gestion
Language :
English
Title :
Predictive Maintenance of Technical Faults Using Machine Learning : A Case Study in Air Transport
Publication date :
2020
Available on ORBi :
since 25 September 2020
Statistics
Number of views
133 (20 by ULiège)
Number of downloads
10 (7 by ULiège)
More statistics
Bibliography
Similar publications
Contact ORBi
