학술논문
Neural-network based fault diagnosis of hydraulic forging presses in China.
Document Type
Article
Author
Source
Subject
*Artificial neural networks
Forging
Printing presses
Language
ISSN
0020-7543
Abstract
The paper describes the utilization of neural networks for fault diagnosis of hydraulic forging presses which may have an impact on the effective utilization of the over 2000 presses in use in China. The technical descriptions of the presses and the 47 major possible faults are presented. For diagnosing these faults the neural network with 30 000 iteration training was utilized and it provided a 99% accuracy in identifying causes of the failures of hydraulic forging presses. [ABSTRACT FROM AUTHOR]