Fault diagnosis based on improved Elman neural network for a hydraulic servo system

2006 IEEE Conference on Robotics, Automation and Mechatronics

Volumn , Issue , 2006, Pages

  Liu, Hongmei ^a   Wang, Shaoping ^a   Ouyang, Pingchao ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

Failure detection; Failure observer; Hydraulic servo system; Improved Elman neural network

Indexed keywords

FAILURE ANALYSIS; HYDRAULIC EQUIPMENT; MATHEMATICAL MODELS; NONLINEAR SYSTEMS; SERVOMECHANISMS;

FAILURE DETECTION; FAILURE OBSERVERS; HYDRAULIC SERVO SYSTEMS; IMPROVED ELMAN NEURAL NETWORK;

NEURAL NETWORKS;

EID: 34547357481     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RAMECH.2006.252657     Document Type: Conference Paper

References (6)

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3. Guangqin Yang, "the fault diagnosis based on data fusion of hydraulic system" the master thesis of Beihang university.
4. Davor Linarie, Vladimir Koroman, "Fault diagnosis of a hydralulic actuator using neural network", IEEE ICIT 2003 -Maribor, Slovenia
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6. L .An and N. Sepehri, "Hydraulic actuator circuit fault detection using extended kalman filter", Proceedings of the American Control conference Denver, Colorado June 4-6,2003.