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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Reliability engineering & system safety Ročník 215; s. 107864
Hlavní autori:	Theissler, Andreas, Pérez-Velázquez, Judith, Kettelgerdes, Marcel, Elger, Gordon
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Barking Elsevier Ltd 01.11.2021 Elsevier BV
Predmet:	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 prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!