[1] 豆龙江, 何玉灵, 万书亭等. 基于振动信号的高压断路器弹簧疲劳程度检测方法[J]. 电工技术学报, 2022, 37(24): 6420-6430.
Dou Longjing, He Yuling, Wan Shuting, et al.Detecting Method of High Voltage Circuit Breaker Spring Fatigue
2 Based on Vibration Signal[J]. Transactions of China Electrotechnical Society, 2022, 37(24): 6420-6430.
[2] 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.
[3] 赵书涛, 许文杰, 刘会兰, 等. 基于振动信号谱形状熵特征的高压断路器操动状态辨识方法[J]. 电工技术学报, 2022, 37(09): 2170-2178.
Zhao Shutao, Xu Wenjie, Liu Huilan, et al.Identification method for operation state of high voltage circuit breakers based on spectral shape entropy characteristics of vibration signals[J]. Transactions of China Electrotechnical Society, 2022, 37(09): 2170-2178.
[4] 游颖敏, 王景芹, 舒亮, 等. 断路器保护特性测试电流的自适应控制策略[J]. 电工技术学报, 2020, 35(15): 3203-3213.
You Yingmin, Wang Jingqin, Shu Liang, et al.Research on adaptive current control method in circuit breaker protection characteristic test[J]. Transactions of China Electrotechnical Society, 2020, 35(15): 3203-3213.
[5] Sun Yihang, Wu Jianwen, et al.Design of intelligent integrated controller of circuit breaker based on dual-core CPU[C]. 2011 IEEE 1st International Conference on Electric Power Equipment-Switching Technology, Xi’an, 2011: 315-318.
[6] 刘会兰, 许文杰, 赵书涛等. 面向高压断路器故障分类的电流-振动信号类聚几何敏感特征优选方法[J].电工技术学报, 2023, 38(01): 26-36.
Liu Huilan, Xu Wenjie, Zhao Shutao, et al.Optimization Method of Clustering Geometric Sensitive Features of Current Vibration Signals for Fault Classification of High Voltage Circuit Breakers[J]. Transactions of China Electrotechnical Society, 2023, 38(01): 26-36.
[7] 刘晓明, 张煦松, 姜文涛等. 基于混沌吸引子的真空断路器永磁斥力机构机械故障识别方法[J]. 电工技术学报, 2022, 37(20): 5334-5346.
Liu Xiaoming, Zhang Xusong, Jiang Wentao, et al.A Method of Mechanical Fault Identification of Permanent Magnet Repulsion Mechanism of Vacuum Circuit Breaker Based on Chaos Attractor[J]. Transactions of China Electrotechnical Society, 2022, 37(20): 5334-5346.
[8] 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.Research of a new method for circuit breaker instantaneous validation phase selection[J]. Proceedings of the CSEE, 2017, 37(18): 5473-5482.
[9] 郭博文, 李楠, 李松原等. 断路器弹簧操动机构分/合闸弹簧的状态诊断[J]. 电气技术, 2021, 22(12): 57-62.
Guo Bowen, Li Nan, Li Songyuan, et al, State diagnosis for closing/opening spring in the spring operating mechanism of circuit breaker[J]. Electrical Engineering, 2021, 22(12): 57-62.
[10] 刘会兰, 许文杰, 赵书涛, 等. 基于振动信号时间历程和自适应谱融合的断路器操动机构状态辨识方法[J]. 高电压技术, 2022, 40(3): 3321-3329.
Liu Huilan, Xu Wenjie, Zhao Shutao, et al.State identification method of circuit breaker operating mechanism based on time course waveform and adaptive spectrum fusion analysis of vibration signal[J]. High Voltage Engineering, 2022, 40(3): 3321-3329.
[11] 朱洪伟, 康晓勇, 张家瑞等. 一种断路器缺陷零部件的诊断方法[J]. 高压电器, 2023, 59(03): 22-27.
Zhu Hongwei, Kang Xiaoyong, Zhang Jiarui, et al.Diagnostic method for defective parts of circuit breakers[J]. High Voltage Apparatus, 2023, 59(03): 22-27.
[12] 王展, 杜思远, 贺文治, 等. 基于全相位快速傅里叶变换的主轴不平衡特征提取及实验[J]. 仪器仪表学报, 2020, 41(04): 138-146.
Wang Zhan, Du Siyuan, He Wenzhi, et. al. Main axis unbalance feature extraction and experiment based on all-phase fast Fourier transform[J]. Chinese Journal of Instrumentation, 2020, 41(04): 138-146.
[13] 赵洋, 曾庆军, 严金城. 采用功率谱估计法的真空断路器振动分析[J]. 电气应用, 2009, 28(09): 62-65.
Zhao Yang, Zeng Qingjun, Yan Jincheng.Vibration analysis of vacuum circuit breaker using power spectrum estimation method[J]. Electrical Application, 2009, 28(09): 62-65.
[14] 杨青乐, 梅检民, 肖静, 等. Teager能量算子增强倒阶次谱提取轴承微弱故障特征[J]. 振动与冲击, 2015, 34(06): 1-5.
Yang Qingle, Mei Jianmin, Xiao Jing, et al.Teager energy operator enhanced reciprocal order spectrum to extract weak fault features of bearings[J]. Vibration and Shock, 015, 34(06): 1-5.
[15] Ren Weixin, Sun Zengshou.Structural damage identification by using wavelet entropy[J]. Engineering Structures, 2008, 30(10): 2840-2849.
[16] 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(03): 228-236.
Sun Yihang, Wu Jianwen, Lian Shijun, et al.Feature vector extraction of circuit breaker vibration signal combined with empirical mode decomposition total energy method[J] Transactions of China Electrotechnical Society, 2014, 29(03): 228-236.
[17] 黄南天, 陈怀金, 林琳, 等. 基于S变换和极限学习机的高压断路器机械故障诊断[J]. 高压电器, 2018, 54(6): 74-80.
Huang Nantian, Chen Huaijin, Lin Lin, et al.Mechanical fault diagnosis of high voltage circuit breakers based on S-transform and extreme learning machine[J]. High Voltage Apparatus, 2018, 54(6): 74-80.
[18] 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.
[19] 王静君, 王飞, 杨元威, 等. 短时能量法在断路器机械振动信号分析中的应用[J]. 高压电器, 2017, 53(12): 14-19.
Wang Jingjun, Wang Fei, Yang Yuanwei, et al.Application of short-time energy method in the analysis of mechanical vibration signal of circuit breaker[J]. High Voltage Apparatus, 2017, 53(12): 14-19.
[20] 孟永鹏, 贾申利, 荣命哲. 短时能量分析法在断路器机械状态监测中的应用[J]. 西安交通大学学报, 2004, 38(12): 1301-1305.
Meng Yongpeng, Jia Shenli, Rong Mingzhe.Application of short-time energy analysis in condition monitoring of circuit breakers[J]. Journal of Xi’an Jiao tong University, 2004, 38(12): 1301-1305.
[21] 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.
[22] Eckmann J P, Kamphorst S O, Ruelle D.Recurrence plots of dynamical systems[J]. Europhysics Letters, 1987, 4(9): 973-977.
[23] 孟庆芳, 陈珊珊, 陈月辉, 等. 基于递归量化分析与支持向量机的癫痫脑电自动检测方法[J]. 物理学报, 2014, 63(5): 050506-1-8.
Meng Qingfang, Chen Shanshan, Chen Yuehui, et al. Automatic detection of epileptic EEG based on recurrence quantification analysis and SVM[J]. Acta Phys, 2014, 63(5): 050506-1-8.
[24] 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.
[25] 赵书涛, 王科登, 闫筱, 等. 基于识别区域估计优化NCC-P算法的断路器储能弹簧形变特性研究[J]. 中国电机工程学报, 2019, 39(24): 7413-7420+7514.
Zhao Shutao, Wang Kedeng, Yan Xiao, et al. Study on deformation characteristics of circuit breaker energy storage spring based on recognition area estimation optimization NCC-P algorithm[J]. Proceedings of the CSEE, 2019, 39(24): 7413-7420+7514.
[26] Sen U, Gangopadhyay T, Bhattacharya C, et al.Dynamic characterization of a ducted inverse diffusion flame using recurrence analysis[J]. Combustion Science and Technology, 2018, 190(1): 32-56.
[27] Cao L Y.Practical method for determining the minimum embedding dimension of a scalar time series[J]. Physica D: Nonlinear Phenomena, 1997, 110(1-2): 43-50.
[28] Marwan N, Carmen Romano M, Thiel M, et al.Recurrence plots for the analysis of complex systems[J]. Physics Reports, 2007, 438(5-6): 237-330.
[29] 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.
[30] 刘春玲, 王旭. 基于定量递归分析(RQA)方法的肌电信号处理[J]. 计算机工程与应用, 2007, 43(1): 204-205.
Liu Chunling, Wang Xu.Surface electromyography processing based on recurrence quantification analysis. Computer Engineering and Applications, 2007, 43(1): 204-205.
[31] 豆龙江. 断路器弹簧操作机构故障机理分析及诊断方法研究[D]. 北京: 华北电力大学, 2019.
Dou Longjiang.Research on failure mechanism analysis and diagnosis method of circuit breaker spring operating mechanism[D]. Beijing: North China Electric Power University, 2019. |