Machining sensor data management for operation-level predictive model
作者：
Highlights：
• Contribution to industrial data elaboration for predictive maintenance was provided.
• Data were analysed to develop a new solution for real-time monitoring.
• It was proposed a challenging input resulting in data management time savings.
• A classifier for tool condition assessment in new and promising form was presented.
• An original model was proposed for degradation assessment and prediction.
摘要
•Contribution to industrial data elaboration for predictive maintenance was provided.•Data were analysed to develop a new solution for real-time monitoring.•It was proposed a challenging input resulting in data management time savings.•A classifier for tool condition assessment in new and promising form was presented.•An original model was proposed for degradation assessment and prediction.
论文关键词：Machining tool,Predictive models,Sensor data,Data management,Support vector machine
论文评审过程：Received 15 June 2019, Revised 27 April 2020, Accepted 25 May 2020, Available online 4 June 2020, Version of Record 17 June 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113600
