|
|
Research on Condition Monitoring Method of Mechanical Characteristics of Low-Voltage Circuit Breaker |
Hu Bokai1,2, Li Kui1,2, Niu Feng1,2, Zhao Chengchen1,2 |
1.State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology Tianjin 300130 China; 2.Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province Hebei University of Technology Tianjin 300130 China |
|
|
Abstract As an important protective device in low-voltage distribution system, low-voltage circuit breaker is mainly used to cut off and connect load circuit and cut off fault circuit to ensure the system safe operation. The reliable operation of its internal mechanical components is very important to the operating performance of the low-voltage circuit breaker. With the increase of the number of operations, the mechanical characteristics of the circuit breaker gradually deteriorate, and eventually destroy the normal movement of the operating mechanism, and then cause the failure of closing and opening, and even affect the distribution system. In order to accurately monitor the mechanical characteristics of low-voltage circuit breaker, a condition monitoring method for mechanical characteristics of low-voltage circuit breaker based on the motion characteristics of operating mechanism is proposed. Firstly, according to the motion characteristics of the operating mechanism, the rotation characteristics of mechanism in the process of closing and opening are analyzed, and the characteristics that can reflect the performance of the operating mechanism are selected. Secondly, the effects of contact abrasion, mechanism abrasion and opening spring fracture on the performance of the mechanism are quantitatively analyzed, and the performance monitoring and diagnosis of mechanical parts are realized by monitoring the changes of characteristic quantities in real time. Finally, the influence of contact over-travel performance degradation on opening energy and mechanism performance is quantitatively calculated to realize the monitoring of contact overtravel state. The experimental results show that the proposed method can effectively monitor the state information of the mechanical components of low-voltage circuit breaker, realize the accurate evaluation of the contact overrange state, and provide a new method for the monitoring and diagnosis of the mechanical characteristics of low-voltage circuit breaker.
|
Received: 22 September 2021
|
|
Fund:国家自然科学基金(51937004, 51777056)和河北省自然科学基金(E2019202124, E2020202142)资助项目 |
|
|
|
[1] 孙曙光, 张强, 杜太行, 等. 基于分合闸线圈电流的万能式断路器故障诊断[J]. 仪器仪表学报, 2018, 39(2): 130-140. Sun Shuguang, Zhang Qiang, Du Taihang, et al.Fault diagnosis for conventional circuit breaker based on switching coil current[J]. Chinese Journal of Scientific Instrument, 2018, 39(2): 130-140. [2] Zhao Heng, Xiao Xianyong, Sun Qiuqin.Identifying electric shock in the human body via α dispersion[J]. IEEE Transactions on Power Delivery, 2018, 33(3): 1107-1114. [3] 孙曙光, 张伟, 王景芹, 等. 基于动作过程振动检测的低压断路器机械寿命预测[J]. 仪器仪表学报, 2020, 41(12): 146-157. Sun Shuguang, Zhang Wei, Wang Jingqin, et al.Mechanical life prediction of low-voltage circuit breaker based on vibration detection during operation[J]. Chinese Journal of Scientific Instrument, 2020, 41(12): 146-157. [4] 袁佳歆, 张哲维, 周航, 等. 永磁饱和型高压直流限流器参数优化设计[J]. 电力系统自动化, 2020, 44(13): 135-142. Yuan Jiaxin, Zhang Zhewei, Zhou Hang, et al.Optimal design of parameters for high voltage DC fault current limiter with permanent-magnet-biased saturation[J]. Automation of Electric Power Systems, 2020, 44(13): 135-142. [5] 李国庆, 宋禹衡, 王利猛, 等. 基于电压钳位原理的多端口限流式直流断路器[J]. 电力系统自动化, 2021, 45(18): 170-178. Li Guoqing, Song Yuheng, Wang Limeng, et al.Multi-port current limiting DC circuit breaker based on voltage clamp principle[J]. Automation of Electric Power Systems, 2021, 45(18): 170-178. [6] Bian Chunyuan, Liu Shangyue, Xing Haiyang, et al.Research on fault-tolerant operation strategy of rectifier of square wave motor in wind power system[J]. China Electrotechnical Society Transactions on Electrical Machines and Systems, 2021, 5(1): 62-69. [7] 赵书涛, 吴成坚, 李明, 等. 基于NCC-P-S优化算法的断路器机械特性测试方法研究[J]. 中国电机工程学报, 2017, 37(14): 4265-4271, 4306. Zhao Shutao, Wu Chengjian, Li Ming, et al.Research of circuit breaker mechanical characteristic test method based on normalized cross correlation-pyramid-sector optimization algorithm[J]. Proceedings of the CSEE, 2017, 37(14): 4265-4271, 4306. [8] 刘艳, 陈丽安. 基于SOM的真空断路器机械故障诊断[J]. 电工技术学报, 2017, 32(5): 49-54. Liu Yan, Chen Lian.Mechanical fault diagnosis of vacuum circuit breaker based on SOM[J]. Transactions of China Electrotechnical Society, 2017, 32(5): 49-54. [9] 彭诗怡, 刘衍, 周涛涛, 等. 基于操作力矩的高压隔离开关机械缺陷智能诊断[J]. 电工技术学报, 2021, 36(7): 1356-1367. Peng Shiyi, Liu Yan, Zhuo Taotao, et al.Intelligent diagnosis technology of mechanical defects of high voltage disconnector[J]. Transactions of China Electrotechnical Society, 2021, 36(7): 1356-1367. [10] 付饶, 梁慧敏, 叶雪荣, 等. 接触器触点超程分析及其退化状态的诊断[J]. 电工技术学报, 2020, 35(1): 125-133. Fu Rao, Liang Huimin, Ye Xuerong, et al.Analysis of the contact overtravel of contactor and its degradation state evaluation[J]. Transactions of China Electrotechnical Society, 2020, 35(1): 125-133. [11] 彭庭康. 低压断路器健康状态监测和故障诊断研究[D]. 武汉: 湖北工业大学, 2020. [12] 张佳, 陈志英, 陈丽安, 等. 基于粒子群优化极限学习机的断路器故障诊断方法研究[J]. 高压电器, 2020, 56(6): 181-188. Zhang Jia, Chen Zhiying, Chen Lian, et al.Research on fault diagnosis of circuit breaker based on particle swarm optimization extreme learning machine[J]. High Voltage Apparatus, 2020, 56(6): 181-188. [13] 梅飞, 梅军, 郑建勇, 等. 粒子群优化的KFCM及SVM诊断模型在断路器故障诊断中的应用[J]. 中国电机工程学报, 2013, 33(36): 134-141, 19. Mei Fei, Mei Jun, Zheng Jianyong, et al.Application of particle swarm fused KFCM and classification model of SVM for fault diagnosis of circuit breaker[J]. Proceedings of the CSEE, 2013, 33(36): 134-141, 19. [14] 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): 960-1971. [15] 孙曙光, 李勤, 杜太行, 等. 基于一维卷积神经网络的低压万能式断路器附件故障诊断[J]. 电工技术学报, 2020, 35(12): 2562-2573. Sun Shuguang, Li Qin, Du Taihang, et al.Fault diagnosis of accessories for the low voltage conventional circuit breaker based on one-dimensional convolutional neural network[J]. Transactions of China Electrotechnical Society, 2020, 35(12): 2562-2573. [16] 谭佳明, 叶奕君, 李国玉, 等. 基于振动信号的交流中压真空断路器故障诊断技术研究[J]. 高压电器, 2019, 55(11): 218-226. Tan Jiaming, Ye Yijun, Li Guoyu, et al.Fault diagnosis technology of AC medium-voltage vacuum circuit breaker based on vibration signal[J]. High Voltage Apparatus, 2019, 55(1): 218-226. [17] 杨秋玉, 王栋, 阮江军, 等. 基于振动信号的断路器机械零部件故障程度识别[J]. 电工技术学报, 2021, 36(13): 2880-2892. Yang Qiuyu, Wang Dong, Ruan Jiangjun, et al.Fault severity estimation method for mechanical parts in circuit breakers based on vibration analysis[J]. Transactions of China Electrotechnical Society, 2021, 36(13): 2880-2892. [18] 万书亭, 马晓棣, 陈磊, 等. 基于振动信号短时能熵比与DTW的高压断路器状态评估及故障诊断[J]. 高电压技术, 2020, 46(12): 4249-4257. Wan Shuting, Ma Xiaodi, Chen Lei, et al.State evaluation and fault diagnosis of high-voltage circuit breaker based on short-time energy entropy ratio of vibration signal and DTW[J]. High Voltage Engineering, 2020, 46(12): 4249-4257. [19] Yang Qiuyu, Ruan Jiangjun, Zhuang Zhijian, et al.Chaotic analysis and feature extraction of vibration signals from power circuit breakers[J]. IEEE Transactions on Power Delivery, 2020, 35(3): 1124-1135. [20] Razi-Kazemi A A, Niayesh K, Nilchi R. A probabilistic model-aided failure prediction approach for spring-type operating mechanism of high-voltage circuit breakers[J]. IEEE Transactions on Power Delivery, 2019, 34(4): 1280-1290. [21] 姚杨, 林金涛, 刘洪正, 等. 基于复合特征的断路器机械故障诊断方法研究[J]. 中国电机工程学报, 2019, 39(21): 6439-6452. Yao Yang, Lin Jintao, Liu Hongzheng, et al.Research on mechanical fault diagnosis of circuit breakers based on hybrid features[J]. Proceedings of the CSEE, 2019, 39(21): 6439-6452. [22] 陈欣昌, 冯玎, 林圣. 基于深度自编码网络的高压断路器操作机构机械故障诊断方法[J]. 高电压技术, 2020, 46(9): 3080-3088. Chen Xinchang, Feng Ding, Lin Sheng.Mechanical fault diagnosis method of high voltage circuit breaker operating mechanism based on deep auto-encoder network[J]. High Voltage Engineering, 2020, 46(9): 3080-3088. [23] 杨秋玉, 阮江军, 张灿, 等. 基于定量递归分析的高压断路器机械缺陷辨识及应用[J]. 电工技术学报, 2020, 35(18): 3848-3859. Yang Qiuyu, Ruan Jiangjun, Zhang Can, et al.Study and application of mechanical defect identification for high-voltage circuit breakers using recurrence quantification analysis[J]. Transactions of China Electrotechnical Society, 2020, 35(18): 3848-3859. [24] 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): 6730-6737. 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): 6730-6737. [25] 赵书涛, 李沐峰, 王亚潇, 等. 断路器操动状态声音辨识的优化算法的研究[J]. 电测与仪表, 2017, 54(10): 26-31. Zhao Shutao, Li Mufeng, Wang Yaxiao, et al.Research of optimization algorithm for sound signal recognition of circuit breaker operating state[J]. Electrical Measurement & Instrumentation, 2017, 54(10): 26-31. [26] 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 Danchun, 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. [27] 杨秋玉, 阮江军, 黄道春, 等. 基于改进Hilbert-Huang变换和支持向量机的高压断路器触头超程状态识别[J]. 电力自动化设备, 2019, 39(1): 198-204. Yang Qiuyu, Ruan Jiangjun, Huang Danchun, et al.Over-travel detection of electrical contact for high-voltage circuit breaker based on improved HHT and SVM[J]. Electric Power Automation Equipment, 2019, 39(1): 198-204. |
|
|
|