A Study on Quality Classification of Injection Molding Process by Kalman Filter


KIPS Transactions on Software and Data Engineering, Vol. 5, No. 12, pp. 635-640, Dec. 2016
10.3745/KTSDE.2016.5.12.635,   PDF Download:
Keywords: Kalman Filtering, Injection Molding Machine, real-time, Sensor Data Process, Injection Speed
Abstract

It is important factors for a production system to get a profitable result in quality and reliability process. For this reason, there's are various type of research papers in a certain type of data acquisition and application to reliability and quality of the level of M2M devices. In general, a classification problem of slightly different signal such as sensing data is difficult to do with classical statistical methods. There’s required real-time and instantaneous calculation properties in machine process. Especially a type of injection molding machine which has a property to be decided in accordance with short-term cycle process needs a solution that can be done a certain type of decision like as good or bad quality immediately. This paper presents a simple application of Kalman Filtering by single sensing data to injection molding process in order to get a correct answer from the real time sensing data.


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Cite this article
[IEEE Style]
S. B. Deug and O. H. Jun, "A Study on Quality Classification of Injection Molding Process by Kalman Filter," KIPS Transactions on Software and Data Engineering, vol. 5, no. 12, pp. 635-640, 2016. DOI: 10.3745/KTSDE.2016.5.12.635.

[ACM Style]
Shin Bong Deug and Oh Hyuk Jun. 2016. A Study on Quality Classification of Injection Molding Process by Kalman Filter. KIPS Transactions on Software and Data Engineering, 5, 12, (2016), 635-640. DOI: 10.3745/KTSDE.2016.5.12.635.