DocumentCode
540087
Title
An approach to machine maintenance with neural network
Author
Vdepsalainen, A.
fYear
1990
fDate
9-11 Aug. 1990
Firstpage
359
Lastpage
362
Abstract
An approach to machine maintenance with a nonlinear dynamical network is proposed. It is proved that the dynamical network used can approximate any system. Only mild conditions are imposed. An adaptive procedure for estimating required parameters is presented. Test results show that the approach is very efficient. It can model the system behavior and can be used to classify faults and to predict future behavior
Keywords
adaptive systems; maintenance engineering; neural nets; parameter estimation; production control; adaptive systems; machine maintenance; neural network; nonlinear dynamical network; parameter estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems Engineering, 1990., IEEE International Conference on
Conference_Location
Pittsburgh, PA, USA
Print_ISBN
0-7803-0173-0
Type
conf
DOI
10.1109/ICSYSE.1990.203171
Filename
5725703
Link To Document