一种用于在线检测局部放电的数字滤波技术

研究局部放电在线检测技术中的干扰问题，针对在线检测过程中比较严重的连续周期性干扰信号提出一种数字滤波的抗干扰措施。实验室和现场试验表明数字滤波方法对各种频率的周期性干扰信号具有自适应性。     

局部放电在线监测中的抗干扰技术

抑制干扰是在线监测电力设备局部放电的关键技术。文中论述了所研制的各种适用于在线监测电力设备局部放电的抗干扰技术，包括组合式滤波器、数字滤波技术、差动平衡系统和脉冲极性鉴别系统。指出了它们在在线监测局部放电中的实际效果。首次提出并研制了适用于在线监测局部放电的新的脉冲极性鉴别系统及其鉴别判据。最后提出了适用于在线监测电力设备局部放电的抗干扰系统。     

On-Line Partial Discharge Monitoring and Diagnostic System for Power Transformer

This paper introduces a computerized on-line partial discharge （PD） monitoring and diagnostic system for transformers. The system, which is already in use in a power station, uses wide-band active transducers and a data acquisition unit with modularized and exchangeable components. The system software is a power equipment monitoring and diagnostic system, which is based on the component object model, and was developed for monitoring multiple parameters in multiple power supply systems. The statistical characteristics of PDs in power transformers were studied using 7 experimental models for simulating PDs in transformers and 3 models for simulating interfering discharges in air. The discharge features were analyzed using a 3-D pattern chart with a three-layer back-propagation artificial neural network used to recognize the patterns. The results show that PDs in air and oil can be distinguished. The model can be used for interference rejection on-line monitoring of partial discharge in transformers.