• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Electric Power Components and Systems >A New Method for Fault Detection and Identification of Incipient Faults in Power Transformers
【24h】

A New Method for Fault Detection and Identification of Incipient Faults in Power Transformers

机译：电力变压器初期故障检测与识别新方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This article presents a new scheme for incipient fault detection and its identification in transformers. The new approach is actually based on adaptive modeling of transformers using the transmission line method (TLM) obtained from the hysteresis model. The adaptive TLM observer representing no-load, quarter-load, half-load, and rated-load conditions is used for faults detection. The continuous wavelet transform (CWT) is performed on residuals that are obtained by comparing real system currents and calculated TLM observer currents in order to extract the features for fault identification. An adaptive fuzzy reasoning technique is used to identify incipient faults in the transformer. The sum of CWT coefficients of residuals is applied to the adaptive fuzzy rule-based decision-making unit to indicate the type of faults. The main advantage of the suggested scheme is that different types of incipient faults in the transformer can be correctly identified. The test results verify the effectiveness of the suggested method.
机译：本文提出了一种新的变压器早期故障检测及其识别方案。新方法实际上是基于使用从磁滞模型中获得的传输线法（TLM）对变压器进行自适应建模。表示空载、四分之一负载、半负载和额定负载条件的自适应 TLM 观测器用于故障检测。连续小波变换 （CWT） 是通过比较实际系统电流和计算出的 TLM 观测器电流获得的残差，以提取用于故障识别的特征。自适应模糊推理技术用于识别变压器中的早期故障。将残差的CWT系数之和应用于基于自适应模糊规则的决策单元，以指示故障类型。该方案的主要优点是可以正确识别变压器中不同类型的初期故障。测试结果验证了所建议方法的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号