Predictive maintenance system for production lines in manufacturing: A machine learning approach using IoT data in real-time

作者：

Highlights：

• The study proposes predictive maintenance system for manufacturing production lines.

• The system aims to predict signals for potential failures before they occur.

• It uses machine learning methods on big data generated from sensors in real-time.

• Real-world evaluations showed the system is effective in detecting production stops.

摘要

•The study proposes predictive maintenance system for manufacturing production lines.•The system aims to predict signals for potential failures before they occur.•It uses machine learning methods on big data generated from sensors in real-time.•Real-world evaluations showed the system is effective in detecting production stops.

论文关键词：Predictive maintenance,Internet of things,Manufacturing systems,Artificial intelligence,Machine learning,Big data

论文评审过程：Received 10 September 2020, Revised 14 November 2020, Accepted 8 January 2021, Available online 16 January 2021, Version of Record 19 February 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114598