JaLCDOI |
10.18926/46948
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フルテキストURL |
mfe_38_1-2_015_027.pdf
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著者 |
Torigoe, Takashi|
Konishi, Masami|
Imai, Jun|
Nishi, Tatsushi|
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抄録 |
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.
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出版物タイトル |
Memoirs of the Faculty of Engineering, Okayama University
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発行日 |
2004-03
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巻 |
38巻
|
号 |
1-2号
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開始ページ |
15
|
終了ページ |
27
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ISSN |
0475-0071
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言語 |
英語
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論文のバージョン |
publisher
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NAID |
80016785934
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