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http://dx.doi.org/10.3745/KTSDE.2016.5.12.635

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

Shin, Bong Deug (광운대학교 전자통신공학과)
Oh, Hyuk Jun (광운대학교 전자통신공학과)
Publication Information
KIPS Transactions on Software and Data Engineering / v.5, no.12, 2016 , pp. 635-640 More about this Journal
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.
Keywords
Kalman Filtering; Injection Molding Machine; Real-Time; Sensor Data Process; Injection Speed;
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