局部放电监测中现场干扰的分析与抑制

局部放电在线监测的关键是如何有效简便地抑制各种干扰，但目前对现场干扰的研究多限于定性分析。本文利用数字滤波方法对现场干扰作了定性分析和定量研究，对目前研究较多的ＬＭＳ（最小均方误差）自适应滤波、ＦＦＴ（快速傅立叶变换）阈值滤波的效果作了对比分析，指出它们在实际应用中尚存在不足，并且提出了一种基于ＦＦＴ的理想多带通数字滤波器。应用于现场的数据处理，该方法具有处理简单、抑制比高、意义明确等优点，是抑制连续周期性干扰的较好措施。对于脉冲干扰，提出了一种新的利用脉冲信号波形特征进行逻辑判断的脉冲识别方法，取得了较好的效果。     

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.