mfe_38_1-2_015_027.pdf 3.3 MB
Torigoe, Takashi Division of Electronic and Information System Engineering Graduate School of Natural Science and Technology Okayama University
Konishi, Masami Dept. of Electrical and Electronic Engineering Okayama University Kaken ID researchmap
Nishi, Tatsushi Dept. of Electrical and Electronic Engineering Okayama University
In these days, mechanical systems are becoming more complex and highly automated. So, there exist wide variety of demands for reliable diagnostic technology. A reliable data analysis and quantitative diagnosis method of mechanical system is necessary for the purpose. In this paper a quantitative diagnosis method for looper height control system has been developed based on neural network technologies. The wavelet transformation is used for pre-processing to analyze characteristics of looper height control system. And, self organizing map neural network is used for the purpose of classification based on the pre-processed data. After that, the classified results are used for quantitative diagnosis in hierarchical neural network.
Memoirs of the Faculty of Engineering, Okayama University
Faculty of Engineering, Okayama University
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