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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
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https://hdl.handle.net/2268/251092
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draft 23-09-2020.pdf
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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
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133 (20 by ULiège)
Number of downloads
10 (7 by ULiège)
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