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 :
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