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Reliability Engineering & System Safety· 2021Q1

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

Andreas Theissler, Judith Pérez-Velázquez, Marcel Kettelgerdes, Gordon Elger

Short summary

A survey of machine learning-based predictive maintenance (PdM) in the automotive industry reveals that publicly available data and supervised learning methods are key limitations, while multi-source data fusion and deep learning show promise.

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Field: Safety, Risk, Reliability and Quality

Safety, Risk, Reliability and QualityEngineering