Skip to Main content Skip to Navigation
Journal articles

Remaining useful life prediction in embedded systems using an online auto-updated machine learning based modeling

Oussama Djedidi 1 Mohand Djeziri 2 Samir Benmoussa 3 
1 SFL-ENSMSE - Département Sciences de la Fabrication et Logistique
2 LIS - Laboratoire d'Informatique et Systèmes
3 UBMA - Université Badji Mokhtar - Annaba [Annaba]
Document type :
Journal articles
Complete list of metadata
https://hal-amu.archives-ouvertes.fr/hal-03161501
Contributor : Oussama Djedidi Connect in order to contact the contributor
Submitted on : Saturday, March 6, 2021 - 10:27:41 PM
Last modification on : Friday, April 1, 2022 - 3:46:44 AM

Identifiers

Collections

INSTITUT-TELECOM | UNIV-TLN | CNRS | UNIV-AMU | TDS-MACS | LIS-LAB | INCIAM

Citation

Oussama Djedidi, Mohand Djeziri, Samir Benmoussa. Remaining useful life prediction in embedded systems using an online auto-updated machine learning based modeling. Microelectronics Reliability, Elsevier, 2021, 119, pp.114071. ⟨10.1016/j.microrel.2021.114071⟩. ⟨hal-03161501⟩

Export

BibTeX TEI DC DCterms EndNote Datacite

Share

Metrics

Record views

46