YAO Weiqiang, SI Wenrong, FU Chenzhao, et al. Feature Extraction of PD Spectrum Based on Three-parameter Weibull Model[J]. High voltageapparatus, 2021, 57(8): 184-190.
DOI:
YAO Weiqiang, SI Wenrong, FU Chenzhao, et al. Feature Extraction of PD Spectrum Based on Three-parameter Weibull Model[J]. High voltageapparatus, 2021, 57(8): 184-190. DOI: 10.13296/j.1001-1609.hva.2021.08.025.
Feature Extraction of PD Spectrum Based on Three-parameter Weibull Model
Oil-paper insulation is the main insulation form of large transformers.Partial discharge in oil-paper insulation is the precursor and manifestation of insulation deterioration.Therefore
Intensifying the study of PD in oil-paper insulation is of great significance.Considering that Weibull distribution parameters are important characteristic parameters of PD spectrum
the method to extract the characteristic parameters of PD spectrum of discharge number and magnitude based on three-parameter Weibull model is proposed on the basis of two-parameter Weibull model.The gray wolf optimization algorithm is used to obtain parameters of the model.The gray wolf optimization algorithm
compared with the calculation result of such traditional calculation method as two-parameter model and three-parameter model
can calculate the parameter values quickly and accurately
and the obtained model can effectively reflect the characteristics of spectrum of discharge number and magnitude.