Novel method for performance degradation assessment and prediction of hydraulic servo system

Scientia Iranica

Volumn 22, Issue 4, 2015, Pages 1604-1615

  Wang, Zh ^a   Lu, Ch ^a   Ma, J ^a   Yuan, H ^a   Chen, Z ^a  

^a School of Reliability and System Engineering   (China)

Author keywords

Elman neural network; Hydraulic servo system; Mahalanobis distance; Mean impact value; Performance degradation assessment

Indexed keywords

FORECASTING; HYDRAULIC SERVOMECHANISMS; RADIAL BASIS FUNCTION NETWORKS; SERVOMECHANISMS;

ELMAN NEURAL NETWORK; HYDRAULIC SERVO SYSTEM; IMPACT VALUE; MAHALANOBIS DISTANCES; PERFORMANCE DEGRADATION ASSESSMENT;

TIME DOMAIN ANALYSIS;

ARTIFICIAL NEURAL NETWORK; EQUIPMENT; MEASUREMENT METHOD; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; SENSITIVITY ANALYSIS; TREND ANALYSIS;

EID: 85013387758     PISSN: 10263098     EISSN: 23453605     Source Type: Journal    
DOI: None     Document Type: Article

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