Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry

Recent developments in maintenance modelling fuelled by data-based approaches such as machine learning (ML), have enabled a broad range of applications. In the automotive industry, ensuring the functional safety over the product life cycle while limiting maintenance costs has become a major challeng...

Full description

Saved in:

Bibliographic Details
Published in:	Reliability engineering & system safety Vol. 215; p. 107864
Main Authors:	Theissler, Andreas, Pérez-Velázquez, Judith, Kettelgerdes, Marcel, Elger, Gordon
Format:	Journal Article
Language:	English
Published:	Barking Elsevier Ltd 01.11.2021 Elsevier BV
Subjects:	Artificial intelligence Automobile industry Automotive Automotive fuels Condition monitoring Deep learning Industrial development Learning algorithms Life cycles Lifetime prediction Machine learning Maintenance costs Polls & surveys Predictive maintenance Product life cycle Product safety Reliability Reliability engineering Vehicle Deep learning Vehicle Lifetime prediction Condition monitoring Machine learning Reliability Artificial intelligence Automotive Predictive maintenance
ISSN:	0951-8320, 1879-0836
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!