A review on hybrid wavelet regrouping particle swarm optimization neural networks for characterization of partial discharge acoustic signals

Renewable and Sustainable Energy Reviews

Volumn 45, Issue , 2015, Pages 20-35

  Al Geelani, Nasir A ^a   M Piah, M Afendi ^a   Bashir, Nouruddeen ^a  

^a FACULTY OF ELECTRICAL ENGINEERING   (Malaysia)

Author keywords

Acoustic signal; Neural networks; Partial discharge; Particle swarm optimization; Signal processing; Wavelet transform

Indexed keywords

ACOUSTIC WAVES; ENERGY CONSERVATION; NEURAL NETWORKS; PARTIAL DISCHARGES; PARTICLE SWARM OPTIMIZATION (PSO); SIGNAL PROCESSING;

ACOUSTIC SIGNALS; NEURAL-NETWORKS; PARTIAL DISCHARGE ACTIVITY; PARTICLE SWARM; PARTICLE SWARM OPTIMIZATION; PARTICLE SWARM OPTIMIZATION-NEURAL NETWORKS; REGROUPING PARTICLE SWARM OPTIMIZATIONS; SIGNAL-PROCESSING; SWARM OPTIMIZATION; WAVELETS TRANSFORM;

WAVELET TRANSFORMS;

EID: 84921971845     PISSN: 13640321     EISSN: 18790690     Source Type: Journal    
DOI: 10.1016/j.rser.2015.01.047     Document Type: Review

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