ID | 14146 |
JaLCDOI | |
Sort Key | 4
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フルテキストURL | |
著者 |
鳥越 崇史
Division of Electronic and Information System Engineering Graduate School of Natural Science and Technology
小西 正躬
Dept. of Electrical and Electronic Engineering Okayama
西 竜志
Dept. of Electrical and Electronic Engineering Okayama
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抄録 | In this paper, neuro based intelligent diagnosis methods for electro-mechanical control
system are proposed. A self organizing map neural network (SOM) is used to classify
measured data of the target system as a qualitative diagnostic method. Besides of the above
procedure, it is expected to attain more efficient maintenance by a quantitative estimation
of failure. For the purpose, new method is proposed using a hierarchical neural network
(HNN). In the method, classified results by SOM are processed for the quantitative diagnosis.
Hierarchical neural network can identify inner structure of the relations between failure
causes and its results that enables a quantitative diagnosis.
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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 | 2005-01
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巻 | 39巻
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号 | 1号
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出版者 | Faculty of Engineering, Okayama University
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出版者(別表記) | 岡山大学工学部
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開始ページ | 21
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終了ページ | 27
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ISSN | 0475-0071
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NCID | AA10699856
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資料タイプ |
紀要論文
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OAI-PMH Set |
岡山大学
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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 | |
Eprints Journal Name | mfe
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