CAJ | 학술논문

在深入研究污秽绝缘子放电声发射信号的基础上，提出通过对污秽绝缘子放电声信号进行经验模态分解和灰色相似关联度的方法实现放电程度的识别。针对不同放电模式下的声信号进行经验模态分解得到本征模态分量，计算电晕放电、局部放电和电弧放电3种放电模式的声发射信号各阶本征模态分量能量分布。根据前几阶本征模态分量的能量分布构造特征矢量，计算声发射信号与不同放电模式的特征矢量的灰色相似关联度判断绝缘子所处的放电阶段，实现绝缘子外绝缘状态的监测。实例计算结果表明该方法的有效性。
재심입연구오예절연자방전성발사신호적기출상，제출통과대오예절연자방전성신호진행경험모태분해화회색상사관련도적방법실현방전정도적식별。침대불동방전모식하적성신호진행경험모태분해득도본정모태분량，계산전훈방전、국부방전화전호방전3충방전모식적성발사신호각계본정모태분량능량분포。근거전궤계본정모태분량적능량분포구조특정시량，계산성발사신호여불동방전모식적특정시량적회색상사관련도판단절연자소처적방전계단，실현절연자외절연상태적감측。실례계산결과표명해방법적유효성。
On the basis of in-depth study of acoustic emission signals emitted from contaminated insulator discharge, a new method is proposed to achieve contaminated insulator discharge recognition by empirical mode decomposition and grey similar incidence. The intrinsic mode functions of sound signals in different discharge modes is got by empirical mode decomposition and the energy distribution of acoustic emission signals intrinsic mode components in three discharge modes which include the corona discharge, partial discharge and arc discharge is calculated. The feature vector is constructed according to the energy distribution of the first few intrinsic mode components containing the most dominant information. The grey similar incidence of different acoustic emission signals and feature vector in different discharge modes is calculated to identify the discharge modes of the insulator, which realizes the monitoring of the external insulation condition of insulator. Practical calculation results show the effectiveness of this method.