@inproceedings{71174788bda84d6d9b91feb44723f110,
title = "Development of an online tool condition monitoring system for nc machining based on spindle power signals",
abstract = "This paper presents a new online Tool Condition Monitoring System (TCMS) based on Object Linking and Embedded (OLE) for Process Control (OPC) Automation Interface of Computer Numerical Control (CNC) system for shop floor applications. The developed TCMS is able to acquire, display and analyze the spindle power signals automatically from the Panel Control Unit (PCU) of a machine tool in real-time. Tool condition is remote monitored and automatically determined by using adaptive thresholds calculated through statistical method put forward. Experiments are carried out and verify the accuracy and utility of the developed system.",
keywords = "NC machining, OPC, Spindle power, TCMS, Threshold calculation",
author = "Lei Han and Yisheng Zou and Guofu Ding and Menghao Zhu and Lei Jiang and Shengfeng Qin and Hongqin Liang",
year = "2018",
month = sep,
doi = "10.23919/IConAC.2018.8748978",
language = "English",
series = "ICAC 2018 - 2018 24th IEEE International Conference on Automation and Computing: Improving Productivity through Automation and Computing",
publisher = "IEEE",
editor = "Xiandong Ma",
booktitle = "ICAC 2018 - 2018 24th IEEE International Conference on Automation and Computing",
address = "United States",
note = "24th IEEE International Conference on Automation and Computing, ICAC 2018 ; Conference date: 06-09-2018 Through 07-09-2018",
}
