Journal Published Online: 19 November 2019
Volume 3, Issue 2

Development of a Digital Architecture for Distributed CNC Machine Health Monitoring

CODEN: SSMSCY

Abstract

With the advancement of the Internet of Things, machines are expected to become more connected by transmitting operational data in ways that can readily be consumed by analytics engines. In recent years, a substantial amount of research has been conducted to create techniques of acquiring and utilizing machine data to inform supply chain decisions and monitor machine health. In modern manufacturing equipment, standard interfaces such as MTConnect and Open Platform Communications–Unified Architecture facilitate the data acquisition process by providing a means of easily capturing machine controller data. With data from these interfaces, monitoring quantities such as machine utilization are possible by monitoring the MTConnect interface and performing analysis on the machine state. In a distributed manufacturing environment, a means of remotely accessing this data must be developed. The infrastructure responsible for this data transmission must be secure, scalable, and standardized. If detailed machine health metrics are to be analyzed, the infrastructure should be able to accommodate data from sources beyond the machine controller itself. Supplementing the controller data with that from additional sensors, such as accelerometers, temperature, humidity, and current sensors, a more complete picture of machine health status can be created. This article will present a digital architecture that meets these criteria and demonstrate the use cases in machine utilization and health monitoring.

Author Information

Newman, Daniel
George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Parto, Mahmoud
George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Saleeby, Kyle
George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Kurfess, Thomas
George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Dugenske, Andrew
Georgia Tech Manufacturing Research Institute, Georgia Institute of Technology, Atlanta, GA, USA
Pages: 15
Price: Free
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Details
Stock #: SSMS20190038
ISSN: 2520-6478
DOI: 10.1520/SSMS20190038