このエントリーをはてなブックマークに追加
ID 14146
JaLCDOI
Sort Key
4
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
今井 純 Dept. of Electrical and Electronic Engineering Okayama
西 竜志 Dept. of Electrical and Electronic Engineering Okayama
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.
出版物タイトル
Memoirs of the Faculty of Engineering, Okayama University
発行日
2005-01
39巻
1号
出版者
Faculty of Engineering, Okayama University
出版者(別表記)
岡山大学工学部
開始ページ
21
終了ページ
27
ISSN
0475-0071
NCID
AA10699856
資料タイプ
紀要論文
OAI-PMH Set
岡山大学
言語
English
論文のバージョン
publisher
NAID
Eprints Journal Name
mfe