Passive robust fault detection using RBF neural modeling based on set membership identification

Engineering Applications of Artificial Intelligence

Volumn 28, Issue , 2014, Pages 1-12

  Chai, Wei ^a   Qiao, Junfei ^a  

^a BEIJING UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Fault detection; Model structure selection; Model uncertainty; RBF neural networks; Robustness; Set membership identification

Indexed keywords

DETECTION SENSITIVITY; MODEL STRUCTURE SELECTION; MODEL UNCERTAINTIES; RBF NEURAL NETWORK; ROBUST FAULT DETECTION; SET-MEMBERSHIP IDENTIFICATION; TOPOLOGICAL STRUCTURE; UNIVERSAL APPROXIMATION;

FAULT DETECTION; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; SET THEORY; UNCERTAINTY ANALYSIS;

ROBUSTNESS (CONTROL SYSTEMS);

EID: 84892846921     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2013.10.005     Document Type: Article

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