Performance assessment of hydraulic servo system based on bi-step neural network and autoregressive model

Journal of Vibroengineering

Volumn 15, Issue 3, 2013, Pages 1546-1559

  Lu, Chen ^a,b   Yuan, Hang ^a,b   Tao, Laifa ^a,b   Liu, Hongmei ^a  

^a BEIHANG UNIVERSITY   (China)

^b SCIENCE AND TECHNOLOGY ON RELIABILITY AND ENVIRONMENTAL ENGINEERING LABORATORY   (China)

Author keywords

Autoregressive model; Fault observer; Hydraulic servo system; Mahalanobis distance; Neural network; Performance assessment

Indexed keywords

AUTO REGRESSIVE MODELS; FAULT OBSERVER; HYDRAULIC SERVO SYSTEM; MAHALANOBIS DISTANCES; PERFORMANCE ASSESSMENT;

COMPUTER SIMULATION; CONDITION MONITORING; HYDRAULIC SERVOMECHANISMS; RADIAL BASIS FUNCTION NETWORKS;

NEURAL NETWORKS;

EID: 84884552701     PISSN: 13928716     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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