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...

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Vydáno v:	Reliability engineering & system safety Ročník 215; s. 107864
Hlavní autoři:	Theissler, Andreas, Pérez-Velázquez, Judith, Kettelgerdes, Marcel, Elger, Gordon
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Barking Elsevier Ltd 01.11.2021 Elsevier BV
Témata:	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
On-line přístup:	Získat plný text
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