FINGERPRINT: MACHINE TOOL CONDITION MONITORING APPROACH FOR ZERO DEFECT MANUFACTURING

被引：1

作者：

Armendia, M. ^{[1
]}

San Sebastian, J. ^{[2
]}

Gonzalez, D. ^{[1
]}

Santamaria, B. ^{[1
]}

Gonzalez, J. A. ^{[1
]}

Gonzalez-Velazquez, R. ^{[1
]}

Lopez de Calle, K. ^{[1
]}

机构：

[1] Basque Res & Technol Alliance BRTA, C Inaki Goenaga 5, Eibar 20600, Spain

[2] Gamesa Energy Transmiss, Zona Ind Pol 83, Asteasu 20159, Spain

来源：

MM SCIENCE JOURNAL | 2021年 / 2021卷

关键词：

Machine Tool; Zero Defect Manufacturing; Condition Monitoring; Health Assessment; INDUSTRY; 4.0;

D O I：

10.17973/MMSJ.2021_11_2021159

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Manufacturing process monitoring is showing great advances thanks to increasing sensor availability and the development of edge to cloud IoT systems. However, the application of this technology in industry is slowed down due to cyber security policies, the coexistence of old manufacturing systems, with limited monitoring capabilities, with newer and fully monitored ones, and the lack of application-oriented functionalities. In this paper, a fast and automated machine tool characterization procedure, called Fingerprint, is presented, that allows determining useful Key Performance Indicators of the status of machine tools based on IoT technologies. The paper also presents the implementation of this technology in industrial environment.

引用

页码：5247 / 5253

页数：7

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