DocumentCode
1681571
Title
Health monitoring of an electro-hydraulic system using ordered neural networks
Author
Lavretsky, Eugene ; Chidambaram, Bala
Author_Institution
Boeing Co., Huntington Beach, CA, USA
Volume
3
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
2893
Lastpage
2898
Abstract
An electro-hydraulic system (EHS) that consists of a hydraulic pump driven by brushless DC motor is monitored for pump cavitation using feedforward fully connected artificial neural networks. The effectiveness of monitoring is demonstrated in a laboratory environment using open software architecture (OSA) framework
Keywords
brushless DC motors; computerised monitoring; electrical engineering computing; electrohydraulic control equipment; feedforward neural nets; neural nets; pumps; software architecture; EHS; OSA; brushless DC motor; electrohydraulic system monitoring; feedforward fully connected artificial neural networks; hydraulic pump; open software architecture; ordered neural networks; pump cavitation; Brushless DC motors; DC motors; Monitoring; Motor drives; Neural networks; Open loop systems; Pulse width modulation; Pulsed power supplies; Pumps; Valves;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location
Honolulu, HI
ISSN
1098-7576
Print_ISBN
0-7803-7278-6
Type
conf
DOI
10.1109/IJCNN.2002.1007608
Filename
1007608
Link To Document