Condition Assessment of the Circuit Breaker Operating Mechanism Based on Relief Feature Vector Optimization and Som Network

ZHANG Hao; ZHAO Lihua; JING Wei; YANG Wei; JIANG Haiyang; ZHU Linlin; RONG Qiang; FU Rongrong

doi:10.13296/j.1001-1609.hva.2017.09.041

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Condition Assessment of the Circuit Breaker Operating Mechanism Based on Relief Feature Vector Optimization and Som Network

更新时间：2025-04-26

- Condition Assessment of the Circuit Breaker Operating Mechanism Based on Relief Feature Vector Optimization and Som Network
- High VoltageApparatus Vol. 53, Issue 9, Pages: 240-246(2017)
- 作者机构：
  
  1. 四川大学电气信息学院
  2. 国网黑龙江电力有限公司检修公司
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2017.09.041
  CLC： TM561
- Published：2017
- 稿件说明：
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[1]张浩,赵莉华,景伟,阳薇,姜海洋,朱林林,荣强,付荣荣.基于Relief特征量优化及SOM网络的断路器操作机构状态评估[J].高压电器,2017,53(09):240-246.

ZHANG Hao, ZHAO Lihua, JING Wei, et al. Condition Assessment of the Circuit Breaker Operating Mechanism Based on Relief Feature Vector Optimization and Som Network[J]. High voltageapparatus, 2017, 53(9): 240-246.
[1]张浩,赵莉华,景伟,阳薇,姜海洋,朱林林,荣强,付荣荣.基于Relief特征量优化及SOM网络的断路器操作机构状态评估[J].高压电器,2017,53(09):240-246. DOI： 10.13296/j.1001-1609.hva.2017.09.041.

ZHANG Hao, ZHAO Lihua, JING Wei, et al. Condition Assessment of the Circuit Breaker Operating Mechanism Based on Relief Feature Vector Optimization and Som Network[J]. High voltageapparatus, 2017, 53(9): 240-246. DOI： 10.13296/j.1001-1609.hva.2017.09.041.

摘要

为提高断路器操作机构状态评估的效率及准确性

文中提出了采用Relief优化方法对分合闸线圈电流特征向量进行优化及SOM网络对线圈电流样本进行分类的高压断路器操作机构状态评估方法。仿真研究结果表明:基于Relief的分合闸线圈电流特征向量优化方法和SOM网络分类方法的操作机构状态评估能够实现操作机构状态的准确评估

同时采用优化后的电流特征向量数据进行状态评估减小了运算量和缩短了运算时间

提高了断路器机构状态评估的效率。

Abstract

To improve the condition assessment efficiency of a circuit breaker operating mechanism

Relief is employed to optimize the feature vector of a high voltage circuit breaker and SOM neural network is adopted to classify the samples of switching coil current. Thus

an operating mechanism condition assessment method for high voltage circuit breakers is proposed. Simulation results show that this Relief and SOM based operating mechanism condition assessment method can recognize the operating mechanism condition accurately

and application of the optimized current feature vector can reduce the computing amount and time and improve the assessment efficiency.

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