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| Study and Application of Mechanical Defect Identification for High-Voltage Circuit Breakers Using Recurrence Quantification Analysis |
| Yang Qiuyu1, Ruan Jiangjun1, Zhang Can2, Zhuang Zhijian3, Zhai Pengfei4 |
1. School of Electrical Engineering and Automation Wuhan University Wuhan 430072 China;
2. Nanjing Power Supply Company State Grid Jiangsu Electric Power Company;Nanjing 210019 China;
3. Power Products Medium Voltage Technology Center ABB (China) Co. Ltd;Xiamen 361006 China;
4. CEE Power Co. Ltd Fuzhou 350002 China |
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Abstract Diagnosing potential mechanical defects in an in service high-voltage circuit breakers (HVCB) using vibration signals is a challenging research task, which has broad rospective applications. This paper proposes a novel vibration signal analysis method based on recurrence quantification analysis (RQA) and applies it to a real substation. In order to locate the defect accurately, the vibration signal is divided into several functional sub-regions of HVCB. The signals of each sub-region are mapped to a lagged phase space to fully display the dynamic characteristics, and the recurrence plot is reconstructed in the phase space. Finally, recurrence rate (RR), determinism (DET), maximum diagonal line length (Lmax), entropy (ENT), laminarity (LAM) and trapping time (TT) are introduced to quantitatively analyze the recurrence plot of each sub-signal. The experimental results show that the proposed approach can effectively identify the mechanical defects in HVCBs, and shows high accuracy in practical engineering applications.
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Received: 31 July 2019
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[1] 郑一鸣, 徐华, 金佳敏, 等. 断路器特性对切除35kV空母线并联电抗器操作过电压的抑制效果[J]. 电工技术学报, 2018, 33(22): 5282-5291.
Zheng Yiming, Xu Hua, Jin Jiamin, et al.Suppression effects of circuit breaker characteristics on switching overvoltage of cutting shunt reactor on 35kV no-load busbar[J]. Transactions of China Electrotechnical Society, 2018, 33(22): 5282-5291.
[2] Rovelli E, Scarpaci S, Lidozzi A, et al.An HVCB electronic drive for modern electrical substations in distribution power systems[J]. IEEE Transactions on Power Delivery, 2016, 31(2): 665-673.
[3] Razi-Kazemi A, Vakilian M, Niayesh K, et al.Priority assessment of online monitoring investment for power system circuit breakers—Part I: qualitativequantitative approach[J]. IEEE Transactions on Power Delivery, 2013, 28(2): 928-938.
[4] 孟晓承, 韩学山, 许易经, 等. SF6高压断路器机械故障概率的非精确条件估计[J]. 电工技术学报, 2019, 34(4): 693-702.
Meng Xiaocheng, Han Xueshan, Xu Yijing, et al.Imprecise estimation for conditional mechanical outage probabilities of SF6 high voltage circuit breakers[J]. Transactions of China Electrotechnical Society, 2019, 34(4): 693-702.
[5] 关永刚, 杨元威, 钟建英, 等. 高压断路器机械故障诊断方法综述[J]. 高压电器, 2018, 54(7): 10-19.
Guan Yonggang, Yang Yuanwei, Zhong Jianying, et al.Review on mechanical fault diagnosis methods for high-voltage circuit breakers[J]. High Voltage Apparatus, 2018, 54(7): 10-19.
[6] 杨元威, 关永刚, 陈士刚, 等. 基于声音信号的高压断路器机械故障诊断方法[J]. 中国电机工程学报, 2018, 38(22): 6730-6736.
Yang Yuanwei, Guan Yonggang, Chen Shigang, et al.Mechanical fault diagnosis method of high voltage circuit breaker based on sound signal[J]. Proceedings of the CSEE, 2018, 38(22): 6730-6736.
[7] 程序, 关永刚, 张文鹏, 等. 基于因子分析和支持向量机算法的高压断路器机械故障诊断方法[J]. 电工技术学报, 2014, 29(7): 209-215.
Cheng Xu, Guan Yonggang, Zhang Wenpeng, et al.Diagnosis method on the mechanical failure of high voltage circuit breakers based on factor analysis and SVM[J]. Transactions of China Electrotechnical Society, 2014, 29(7): 209-215.
[8] 常广, 王毅, 王玮. 采用振动信号零相位滤波时频熵的高压断路器机械故障诊断[J]. 中国电机工程学报, 2013, 33(3): 155-162.
Chang Guang, Wang Yi, Wang Wei.Mechanical fault diagnosis of high voltage circuit breakers utilizing zero-phase filter time-frequency entropy of vibration signal[J]. Proceedings of the CSEE, 2013, 33(3): 155-162.
[9] Yang Qiuyu, Ruan Jiangjun, Zhuang Zhijian, et al.A new vibration analysis approach for detecting mechanical anomalies on power circuit breakers[J]. IEEE Access, 2019(7): 14070-14080.
[10] 黄新波, 胡潇文, 朱永灿, 等. 基于卷积神经网络算法的高压断路器故障诊断[J]. 电力自动化设备, 2018, 38(5): 136-140.
Huang Xinbo, Hu Xiaowen, Zhu Yongcan, et al.Fault diagnosis of high-voltage circuit breaker based on convolution neural network[J]. Electric Power Automation Equipment, 2018, 38(5): 136-140.
[11] 万书亭, 豆龙江, 李聪, 等. 基于VMD和样本熵的高压断路器故障特征提取及分类[J]. 振动与冲击, 2018, 37(20): 32-38.
Wan Shuting, Dou Longjiang, Li Cong, et al.Fault feature extraction and classification of high voltage circuit breakers based on VMD and sample entropy[J]. Journal of Vibration and Shock, 2018, 37(20): 32-38.
[12] 赵书涛, 王亚潇, 孙会伟, 等. 基于自适应权重证据理论的断路器故障诊断方法研究[J]. 中国电机工程学报, 2017, 37(23): 7040-7046.
Zhao Shutao, Wang Yaxiao, Sun Huiwei, et al.Research of circuit breaker fault recognition method based on adaptive weighted of evidence theory[J]. Proceedings of the CSEE, 2017, 37(23): 7040-7046.
[13] 孙曙光, 张强, 杜太行, 等. 基于振动信号的低压万能式断路器分合闸故障程度评估方法的研究[J]. 中国电机工程学报, 2017, 37(18): 5473-5482.
Sun Shuguang, Zhang Qiang, Du Taihang, et al.Study of evaluation method for low voltage conventional circuit breaker switching fault degree based on vibration signal[J]. Proceedings of the CSEE, 2017, 37(18): 5473-5482.
[14] 杨秋玉, 阮江军, 黄道春, 等. 基于振动信号时频图像识别的高压断路器分闸缓冲器状态评估[J]. 电工技术学报, 2019, 34(19): 4048-4057.
Yang Qiuyu, Ruan Jiangjun, Huang Daochun, et al.Opening damper condition evaluation based on vibration time-frequency images for high-voltage circuit breakers[J]. Transactions of China Electrotechnical Society, 2019, 34(19): 4048-4057.
[15] 杨秋玉, 阮江军, 黄道春, 等. 基于振动信号的高压断路器触头超程状态识别[J]. 电机与控制学报, 2019, 23(6): 27-34.
Yang Qiuyu, Ruan Jiangjun, Huang Daochun, et al.Over-travel state identification for electrical contact of high-voltage circuit breaker using vibration signature[J]. Electric Machines and Control, 2019, 23(6): 27-34.
[16] 黄南天, 王斌, 蔡国伟, 等. 基于Tsallis熵与层次化混合分类器的含未知故障断路器机械故障诊断[J]. 高电压技术, 2019, 45(5): 1518-1525.
Huang Nantian, Wang Bin, Cai Guowei, et al.Mechanical fault diagnosis containing unknown fault of high voltage circuit breaker based on Tsallis entropy and hybrid classifier[J]. High Voltage Engineering, 2019, 45(5): 1518-1525.
[17] 万书亭, 豆龙江, 李聪, 等. 基于振动信号的高压断路器合闸特性参数在线检测方法研究[J]. 振动工程学报, 2019, 32(2): 359-367.
Wan Shuting, Dou Longjiang, Li Cong, et al.Study on on-line detection of high voltage circuit breaker closing characteristic parameters based on vibration signal[J]. Journal of Vibration Engineering, 2019, 32(2): 359-367.
[18] Eckmann J P, Kamphorst S O, Ruelle D.Recurrence plots of dynamical systems[J]. Europhysics Letters, 1987, 4(9): 973-977.
[19] Takens F, Rand D A, Young L S.Detecting strange attractors in turbulence[J]. Dynamical Systems and Turbulence, Lecture Notes in Mathematics, 1981, 898: 666-681.
[20] Webber C L, Zbilut J P.Dynamical assessment of physiological systems and states using recurrence plot strategies[J]. Journal of Applied Physiology, 1994, 76: 965-973.
[21] Terrill P I, Wilson S J, Suresh S, et al.Attractor structure discriminates sleep states: recurrence plot analysis applied to infant breathing patterns[J]. IEEE Transactions on Biomedical Engineering, 2010, 57(5): 1108-1116.
[22] Nguyen C D, Wilson S J, Crozier S, et al.Automated quantification of the synchrogram by recurrence plot analysis[J]. IEEE Transactions on Biomedical Engineering, 2012, 59(4): 946-955.
[23] Censi F, Calcagnini G, Cerutti S.Proposed corrections for the quantification of coupling patterns by recurrence plots[J]. IEEE Transactions on Biomedical Engineering, 2004, 51(5): 856-859.
[24] Marwan N, Romano M C, Thiel M, et al.Recurrence plots for the analysis of complex systems[J]. Physics Reports, 2007, 438(5-6): 237-329.
[25] 刘小峰, 杨康俊, 柏林. 基于Lamb波递归量化分析的复合材料裂纹损伤定征研究[J]. 振动与冲击, 2019, 38(10): 250-255.
Liu Xiaofeng, Yang Kangjun, Bo Lin.Crack damage investigation of composite materials based on the Lamb wave and recursive quantitative analysis[J]. Journal of Vibration and Shock, 2019, 38(10): 250255.
[26] 李斌. 永磁机构真空断路器运动特性状态评估方法研究[D]. 沈阳: 沈阳工业大学, 2013. |
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2020, Vol. 35 
