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Volumn 2003-January, Issue , 2003, Pages 181-185

Self-adaptive genetic algorithms based characterization of structured model parameters

Author keywords

Actuators; Curve fitting; Genetic algorithms; Genetic engineering; Induction machines; Optimization methods; Power engineering computing; Power system modeling; Stochastic processes; Testing

Indexed keywords

ACTUATORS; ALGORITHMS; ARTIFICIAL INTELLIGENCE; ASYNCHRONOUS MACHINERY; CHARACTERIZATION; COMPUTATION THEORY; COMPUTER AIDED ENGINEERING; CURVE FITTING; DIGITAL STORAGE; ELECTRIC MACHINE THEORY; GENETIC ALGORITHMS; GENETIC ENGINEERING; RANDOM PROCESSES; STOCHASTIC SYSTEMS; SYSTEM THEORY; TESTING;

EID: 84944209155     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SSST.2003.1194554     Document Type: Conference Paper
Times cited : (6)

References (6)
  • 6
    • 0034156075 scopus 로고    scopus 로고
    • H-G Diagram-Based Rotor Parameters Identification For Induction Motors Thermal Monitoring Purpose
    • March
    • M.S. Nait Said, and M.E.H. Benbouzid, "H-G Diagram-Based Rotor Parameters Identification For Induction Motors Thermal Monitoring Purpose", IEEE Trans. Energy Conversion, Vol. 15, no. 1, March 2000, pp. 14-18.
    • (2000) IEEE Trans. Energy Conversion , vol.15 , Issue.1 , pp. 14-18
    • Nait Said, M.S.1    Benbouzid, M.E.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.