REPO

Memoirs of the Faculty of Engineering, Okayama University volume39 issue1
2005-01 発行

Application of Neural Network to Fault Diagnosis ofElectro-Mechanical System

Torigoe, Takashi
Konishi, Masami
Nishi, Tatsushi
Publication Date
2005-01
Abstract
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.
ISSN
0475-0071
NCID
AA10699856
NAID