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http://dx.doi.org/10.5391/JKIIS.2008.18.2.230

A Study on the Design of Intelligent Classifier for Decision of Quality of Barrier Material  

Kim, Sung-Ho (군산대학교 전자정보공학부)
Yun, Seong-Ung (군산대학교 전자정보공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.18, no.2, 2008 , pp. 230-235 More about this Journal
Abstract
Recently, LG chemical corporation developed new material called HYPERIER, which has an excellent barrier characteristic. It has many layers which are made of nano-composite within LDPE(Low-Density Poly Ethylene). In order to guarantee the quality of the final product from the production line, a certain test equipment is required to investigate the existence of layers inside the HYPERIER. In this work, ultrasonic sensor based test equipment for investigating the existence of inner layers is proposed. However, it is a tedious job for human operators to check the existence by just looking at the resounding waveform from ultrasonic sensor. Therefore, to enhance the performance of the ultrasonic test equipment, Fast Fourier Transform(FFT) and Principle Components Analysis(PCA) and Back-Propagation Neural Network(BPNN) are utilized which is used for classification of Quality. To verily the feasibility of the proposed scheme, some experiments are executed.
Keywords
Ultrasonic sensor based Test Equipment; Classification of Quality; FFT; PCA; BPNN;
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