李孟东,李帅兵,鲜秀明,郝长金,吴广宁.基于直觉正态云模型和最优变权的变压器绝缘状态评估[J].电测与仪表,2016,53(6):. LI Mengdong,LI Shuabing,XIAN Xiuming,HAO Changjin,WU Guangning.Insulation Condition Assessment for Power Transformer Based on Intuitionistic Normal Cloud Model and Optimal Variable Weights[J].Electrical Measurement & Instrumentation,2016,53(6):.
基于直觉正态云模型和最优变权的变压器绝缘状态评估
Insulation Condition Assessment for Power Transformer Based on Intuitionistic Normal Cloud Model and Optimal Variable Weights
In the condition assessment process of power transformer, the randomness and uncertainty coexists, it is difficult for the cloud model described by membership degree to portray the non-membership degree and hesitancy degreed. An assessment method based on intuitionistic normal cloud model with optimal variable weights is proposed, which realizes the translation form qualitative to quantitative scale by using a compound two tuple method and optimal variable weights of each state quantity, accordingly. An intuitionistic normal cloud model with reasonable digital characteristics is proposed to describe the fuzziness, randomness and hesitation in the process of insulation condition assessment. Then, the whole insulation condition and fault types of transformer are determined via cloud aggregation. Local case study proves the feasibility and the effeteness of the strategy proposed, which provides a new method for online insulation condition maintenance of power transformer.
