A novel distributed approach to robust fault detection and identification

International Journal of Electrical Power and Energy Systems

Volumn 30, Issue 5, 2008, Pages 343-360

  Yan, Bingyong ^a   Tian, Zuohua ^a   Shi, Songjiao ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Consensus filter; Neural networks; Nonlinear systems; Robust fault tracking approximator

Indexed keywords

APPROXIMATION ALGORITHMS; FAILURE ANALYSIS; NEURAL NETWORKS; NONLINEAR SYSTEMS;

CONSENSUS FILTERS; ROBUST FAULT TRACKING APPROXIMATOR (RFTA); ROBUST FAULT TRACKING APPROXIMATORS;

FAULT DETECTION;

EID: 42749096256     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2007.08.005     Document Type: Article

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