高压断路器合闸弹簧动态特性及<br/>储能状态检测方法

摘要
图/表
参考文献
相关文章 (3)

全文: PDF (2607 KB)
输出: BibTeX | EndNote (RIS)

摘要弹簧操动机构中合闸弹簧的储能状态影响高压断路器合闸特性。将合闸过程中弹簧的加速度信号分为两段,利用前段信号计算弹簧能量释放速度,基于动态时间规整算法获得待检测弹簧与标准弹簧能量释放速度的最小空间距离。利用后段信号提取弹簧的本征频率,基于离散频谱校正法对本征频率进行校正。对最小空间距离和本征频率进行数据融合,求取两者的加权欧氏距离作为检测特征值。实验结果表明,加权欧氏距离小于0.5时CT20操动机构的合闸弹簧的储能满足标准压力±5%的要求范围。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	李鹏飞
	周文俊
	曾国
	赵思洋
	王晓

关键词 ：合闸弹簧, 储能状态检测, 动态时间规整算法, 离散频谱校正法, 加权欧氏距离

Abstract：The energy storage state of the closing spring in the spring operating mechanism affects the closing characteristics of the high-voltage circuit breaker.The acceleration signal of the spring in the closing process is divided into two parts.Then the minimum spatial distance of the energy release velocity between the standard spring and the spring under test are obtained by calculating the first part of the acceleration signal based on the dynamic time warping algorithm.For the second part of the acceleration signal,the eigenfrequency of the closing spring is extracted and corrected by the correcting method for discrete spectrum.The weighted Euclidean distance,which is calculated by data fusion of the minimum spatial distance and the eigenfrequency after correction,is taken as the measured eigenvalue.The experimental results show that the energy storage of the closing spring in the CT20 operating mechanism meets the requirement for the standard pressure with 5% deviation when the weighted Euclidean distance is less than 0.5.

Key words： Closing spring energy storage state detection dynamic time warping algorithm correcting method for discrete spectrum weighted Euclidean distance

收稿日期: 2015-01-27 出版日期: 2016-02-25

PACS:

TM562

作者简介: 李鹏飞男,1986年生,博士研究生,研究方向为电力设备在线监测与故障诊断。E-mail:pengfei9966@126.com

引用本文:

李鹏飞,周文俊,曾国,赵思洋,王晓. 高压断路器合闸弹簧动态特性及
储能状态检测方法[J]. 电工技术学报, 2016, 31(3): 104-112. Li Pengfei, Zhou Wenjun, Zeng Guo ,Zhao Siyang ,Wang Xiao. The Dynamic Characteristics and Energy Storage State Detection Method of High-voltage Circuit Breaker Closing Spring. Transactions of China Electrotechnical Society, 2016, 31(3): 104-112.

链接本文:

https://dgjsxb.ces-transaction.com/CN/Y2016/V31/I3/104

[1] Sohn H J,Lee S K,Kim S O,et al.Comparison of spring models for dynamic analysis of a high voltage circuit breaker with a spring operating mechanism[J].Mechanics Based Design of Structures and Machines,2007,36:107-128.
[2] Ahn K Y,Kim S H.Modelling and analysis of a high-speed circuit breaker mechanism with a spring-actuated cam[J].Journal of Mechanical Engineering Science,2001,215(6):633-672.
[3] Razi-Kazemi A A,Vakilian M,Niayesh K A.Circuit-breaker automated failure tracking based on coil current signature[J].IEEE Transactions on Power Delivery,2014,29(1):283-290.
[4] 缪希仁,王燕.低压断路器振动特性分析与合闸同期性研究[J].电工技术学报,2013,28(6):81-85.
Miao Xiren,Wang Yan.Vibration characteristic analysis and closing synchronization research of low voltage circuit breakers[J].Transactions of China Electrotechnical Society,2013,28(6):81-85.
[5] 孙来军,胡晓光,纪延超.改进的小波包-特征熵在高压断路器故障诊断中的应用[J].中国电机工程学报,2007,27(12):103-108.
Sun Laijun,Hu Xiaoguang,Ji Yanchao.Fault diagnosis for high voltage circuit breakers with improved characteristic entropy of wavelet packet[J].Proceedings of the CSEE,2007,27(12):103-108.
[6] 孙一航,武建文,廉世军,等.结合经验模态分解能量总量法的断路器振动信号特征向量提取[J].电工技术学报,2014,29(3):228-236.
Sun Yihang,Wu Jianwen,Lian Shijun,et al.Extraction of vibration signal feature vector of circuit breaker based on empirical mode decomposition amount of energy[J].Transactions of China Electrotechnical Society,2014,29(3):228-236.
[7] Huang Jian,Hu Xiaoguang,Geng Xin.An intelligent fault diagnosis method of high voltage circuit breaker based on improved EMD energy entropy and multi-class support vector machine[J].Electric Power Systems Research,2011,81(2):400-407.
[8] Ni Jianjun,Zhang Chuanbiao,Yang S X.An adaptive approach based on KPCA and SVM for real-time fault diagnosis of HVCBs[J].IEEE Transactions on Power Delivery,2011,26(3):1960-1971.
[9] Michel Landry,Franois Léonard,Champlain Landry,et al.An improved vibration analysis algorithm as a diagnostic tool for detecting mechanical anomalies on power circuit breakers[J].IEEE Transactions on Power Delivery,2011,26(3):1960-1971.
[10]丁康,江利旗.离散频谱的能量重心校正法[J].振动工程学报,2001,14(3):354-358.
Ding Kang,Jiang Liqi.Energy centrobaric correction method for discrete spectrum[J].Journal of Vibration Engineering,2001,14(3):354-358.
[11]张英会,刘辉航,王德成.弹簧手册[M].北京:机械工业出版社,1997.
[12]黄亚宇,王立华,董明智.基于多体动力学的弹簧操动机构的动态特性研究[J].机械设计与研究,2007,23(2):32-36.
Huang Yayu,Wang Lihua,Dong Mingzhi.Dynamic property research on the spring operating mechanism based on the multi-body dynamics[J].Machine Design & Research,2007,23(2):32-36.
[13]Yang J,Li J B,Lin G.A simple approach to integration of accelerationdata for dynamicsoil-structure interaction analysis[J].Soil Dynamics and Earthquake Engineering,2006,26(8):725-734.
[14]王时龙,雷松,周杰,等.两端并圈多股弹簧的冲击响应研究[J].振动与冲击,2011,30(3):64-68.
Wang Shilong,Lei Song,Zhou Jie,et al.Impact response of stranded wires helical springs with closed ends[J].Journal of Vibration and Shock,2011,30(3):64-68.
[15]林德清,顾伟,王元凯,等.基于动态时间弯曲空间距离度量的电能质量综合评估[J].电网技术,2013,37(2):562-567.
Lin Deqing,Gu Wei,Wang Yuankai,et al.Synthetic evaluation of power quality based on dynamic time warping spatial distance measurement[J].Power System Technology,2013,37(2):562-567.
[16]温和,滕召胜,黎福海,等.改进加窗频谱峰值拟合算法及谐波分析应用[J].电工技术学报,2011,26(10):8-15.
Wen He,Teng Zhaosheng,Li Fuhai,et al.Improved windowed Spectral-Peaks polynomial fitting algorithm and its application in power harmonic analysis[J].Transactions of China Electrotechnical Society,2011,26(10):8-15.
[17]刘兴杰,岑添云,郑文书,等.基于模糊粗糙集与改进聚类的神经网络风速预测[J].中国电机工程学报,2014,34(19):3162-3168.
Liu Xingjie,Cen Tianyun,Zheng Wenshu,et al.Neural network wind speed prediction based on fuzzy rough set and improved clustering[J].Proceedings of the CSEE,2014,34(19):3162-3168.
[18]周爱华,张彼德,张厚宣.基于人工免疫分类算法的电力变压器故障诊断[J].高电压技术,2007,33(8):77-80.
Zhou Aihua,Zhang Bide,Zhang Houxuan.Power transformer fault diagnosis by using the artificial immune classification algorithm[J].High Voltage Engineering,2007,33(8):77-80.