このエントリーをはてなブックマークに追加
ID 46948
FullText URL
Author
Torigoe, Takashi
Nishi, Tatsushi
Abstract
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.
Published Date
2004-03
Publication Title
Memoirs of the Faculty of Engineering, Okayama University
Volume
volume38
Issue
issue1-2
Publisher
Faculty of Engineering, Okayama University
Start Page
15
End Page
27
ISSN
0475-0071
NCID
AA10699856
Content Type
Departmental Bulletin Paper
language
英語
File Version
publisher
Refereed
False
Eprints Journal Name
mfe