Remaining useful life estimation without needing for prior knowledge of the degradation features
Author:
Affiliation:
1. LASABadji‐Mokhtar UniversityBP 12 Sidi Amar23000AnnabaAlgeria
2. LSIS UMR CNRS 6108Domaine Universitaire de Saint JeromeAvenue Escadrille Normandie Niemen13397MarseilleFrance
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-smt.2017.0005
Reference44 articles.
1. Prognostic Enhancements to Diagnostic Systems for Improved Condition-Based Maintenance
2. A Survey of Data-Driven Prognostics
3. Prognostic modelling options for remaining useful life estimation by industry
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