Robust observer-based fault detection via evolutionary optimization with applications to wind turbine systems

Proceedings of the 2014 9th IEEE Conference on Industrial Electronics and Applications, ICIEA 2014

Volumn , Issue , 2014, Pages 1627-1632

  Zhu, Yongjia ^a   Gao, Zhiwei ^b  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b NORTHUMBRIA UNIVERSITY   (United Kingdom)

Author keywords

fault diagnosis; genetic algorithm; parameter eigenvalue assignment; robust observer design; wind turbine systems

Indexed keywords

EIGENVALUES AND EIGENFUNCTIONS; FAILURE ANALYSIS; GENETIC ALGORITHMS; INDUSTRIAL ELECTRONICS; PARAMETER ESTIMATION; ROBUSTNESS (CONTROL SYSTEMS); WIND TURBINES;

EIGENVALUE ASSIGNMENT; EVOLUTIONARY OPTIMIZATIONS; OPTIMAL ALGORITHM; OPTIMAL OBSERVERS; RESIDUAL SIGNALS; ROBUST FAULT DETECTION FILTERS; ROBUST OBSERVERS; WIND TURBINE SYSTEMS;

FAULT DETECTION;

EID: 84912117290     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIEA.2014.6931428     Document Type: Conference Paper

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