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1 Ergebnisse
1
An identification method for disturbance signal basing on s..:
, In:
2023 3rd International Conference on Intelligent Power and Systems (ICIPS)
,
Zhou, Ke
;
Jin, Qingrun
;
Mo, Zhiyue
... - p. 321-325 , 2023
Link:
https://doi.org/10.1109/ICIPS59254.2023.10404332
RT T1 <cTitle>2023 3rd International Conference on Intelligent Power and Systems (ICIPS)</cTitle>: T1 <Title>An identification method for disturbance signal basing on support vector machine with optimized multi-universe algorithm</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10404332&Exemplar=1&LAN=DE A1 Zhou, Ke A1 Jin, Qingrun A1 Mo, Zhiyue A1 Tao, Wei A1 Wu, Jiekang A1 Lei, Zhen YR 2023 K1 Support vector machines K1 Empirical mode decomposition K1 Power quality K1 Feature extraction K1 Classification algorithms K1 Kernel K1 Optimization K1 power quality disturbance identification K1 improved multiverse optimization algorithm K1 support vector machine K1 adaptive empirical mode decomposition SP 321 OP 325 LK http://dx.doi.org/https://doi.org/10.1109/ICIPS59254.2023.10404332 DO https://doi.org/10.1109/ICIPS59254.2023.10404332 SF ELIB - SuUB Bremen
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