RDR-based knowledge based system to the failure detection in industrial cyber physical systems
作者：
Highlights：
• Industrial data analysis and feature selection by using crowdsourcing approach.
• Hybrid (machine learning and human) industrial failure detection approach proposal.
• Outstanding performance in enhancing the accuracy of failure detection.
• Reduction of human expertise acquisition time and overfitting solving cost.
摘要
•Industrial data analysis and feature selection by using crowdsourcing approach.•Hybrid (machine learning and human) industrial failure detection approach proposal.•Outstanding performance in enhancing the accuracy of failure detection.•Reduction of human expertise acquisition time and overfitting solving cost.
论文关键词：Alarm network,Sensor data mining,Knowledge-based system,Failure detection,Knowledge engineering and cyber physical system,00-01,99-00
论文评审过程：Received 2 October 2017, Revised 18 December 2017, Accepted 4 February 2018, Available online 24 February 2018, Version of Record 26 May 2018.
论文官网地址：https://doi.org/10.1016/j.knosys.2018.02.009
