| JaLCDOI |
10.18926/46948
|
| FullText URL |
mfe_38_1-2_015_027.pdf
|
| Author |
Torigoe, Takashi|
Konishi, Masami|
Imai, Jun|
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.
|
| Publication Title |
Memoirs of the Faculty of Engineering, Okayama University
|
| Published Date |
2004-03
|
| Volume |
volume38
|
| Issue |
issue1-2
|
| Start Page |
15
|
| End Page |
27
|
| ISSN |
0475-0071
|
| language |
English
|
| File Version |
publisher
|
| NAID |
80016785934
|
