Design of fault arc detection device based on STM32

Tong Weiming; Tong Chuntian; Jin Xianji

doi:10.11884/HPLPB201931.180320

Volume 31 Issue 3

Mar. 2019

Turn off MathJax

Article Contents

Abstract

References

Article Navigation > High Power Laser and Particle Beams > 2019 > 31(3): 035002

Wang Lei, Zhang Cheng, Luo Zhenbing, et al. Compact microsecond-pulse generator for plasma synthetic jet[J]. High Power Laser and Particle Beams, 2016, 28: 045013. doi: 10.11884/HPLPB201628.125013

Citation:

Tong Weiming, Tong Chuntian, Jin Xianji. Design of fault arc detection device based on STM32[J]. High Power Laser and Particle Beams, 2019, 31: 035002. doi: 10.11884/HPLPB201931.180320

Wang Lei, Zhang Cheng, Luo Zhenbing, et al. Compact microsecond-pulse generator for plasma synthetic jet[J]. High Power Laser and Particle Beams, 2016, 28: 045013. doi: 10.11884/HPLPB201628.125013

Citation:

Tong Weiming, Tong Chuntian, Jin Xianji. Design of fault arc detection device based on STM32[J]. High Power Laser and Particle Beams, 2019, 31: 035002. doi: 10.11884/HPLPB201931.180320

PDF( 1884 KB)

Design of fault arc detection device based on STM32

doi: 10.11884/HPLPB201931.180320

Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150000, China

Received Date: 2018-11-14
Rev Recd Date: 2019-02-18
Publish Date: 2019-03-15

Abstract

Abstract

The detection of the load current signal is one of the effective methods for judging whether an arc fault occurs in the low-voltage distribution line; according to the national standard GB/T 31143-2014 "General Requirements for Arc Fault Protection Devices (AFDD)", the analog series fault arc is built. The experimental platform studies the characteristics of the current waveform when the fault arc occurs. The db4 wavelet function is used as the wavelet basis function to decompose and reconstruct the current waveform after noise reduction, and extract the wavelet high-frequency component, calculate the periodic variance value of the wavelet high-frequency component, and detect the arc fault according to this value; The feasibility and effectiveness of the detection algorithm are verified. The arc fault detection algorithm is transplanted to the STM32 platform, and the fault arc detection device based on STM32 is designed. The device can realize the functions of current signal acquisition, data processing and series arc fault detection and recognition. Experiments with resistive loads, LED light, vacuum cleaners and microwave ovens have shown that the device can detect series arc faults with high reliability and will not cause false positives without generating fault arcs.
- fault arc detection,
- wavelet function,
- feature amount,
- period variance,
- STM32

FullText(HTML)

References(16)

References

[1]	公安部消防局. 中国消防年鉴[M]. 北京: 国际文化出版公司, 2011-2016. Fire Department of Ministry of Public Security. China fire yearbook. Beijing: International Cultural Publishing Company, 2011-2016
[2]	沈阳, 曹菲菲. 基于因子分析的全国火灾统计[J]. 消防科学与技术, 2012, 30(5): 532-535. doi: 10.3969/j.issn.1009-0029.2012.05.030 Shen Yang, Cao Feifei. National fire statistics based on factor analysis. Fire Science and Technology, 2012, 30(5): 532-535 doi: 10.3969/j.issn.1009-0029.2012.05.030
[3]	谭秋秋. 低压电弧故障检测方法及装置[D]. 济南: 山东建筑大学, 2017 Tan Qiuqiu. Low-voltage arc fault detection method and device. Ji'nan: Shandong Jianzhu University, 2017
[4]	刘晓明, 徐叶飞, 刘婷, 等. 基于电流信号短时过零率的电弧故障检测[J]. 电工技术学报, 2017, 30 (13): 125-133. https://www.cnki.com.cn/Article/CJFDTOTAL-DGJS201513017.htm Liu Xiaoming, Xu Yefei, Liu Ting, et al. Arc fault detection based on short-time zero-crossing rate of current signal. Journal of Electrotechnics, 2017, 30 (13): 125-133 https://www.cnki.com.cn/Article/CJFDTOTAL-DGJS201513017.htm
[5]	赵景波, 唐勇伟, 张磊. 基于改进小波变换的故障电弧检测方法的研究[J]. 电机与控制学报, 2016, 20(2): 90-97. https://www.cnki.com.cn/Article/CJFDTOTAL-DJKZ201602014.htm Zhao Jingbo, Tang Yongwei, Zhang Lei. Research on fault arc detection method based on inproved wavelet transform. Journal of Electric Machines and Control, 2016, 20(2): 90-97 https://www.cnki.com.cn/Article/CJFDTOTAL-DJKZ201602014.htm
[6]	李珂, 唐基超, 雒佳明, 等. 基于STM32电压质量检测装置的研究[J]. 电子电路设计方案, 2018(5): 18-24. https://www.cnki.com.cn/Article/CJFDTOTAL-DZZZ201809006.htm Li Ke, Tang Jichao, Luo Jiaming, et al. Voltage quality detection research based on STM32. Electronic Circuit Design, 2018(5): 18-24 https://www.cnki.com.cn/Article/CJFDTOTAL-DZZZ201809006.htm
[7]	张耀, 齐晓辉. 电能质量监测终端自动测试系统的技术和应用[J]. 电气技术, 2018(3): 126-127. https://www.cnki.com.cn/Article/CJFDTOTAL-DQJS201803030.htm Zhang Yao, Qi Xiaohui. Technology and application of automatic test system for power quality detection terminal. Electrical Engineering, 2018(3): 126-127 https://www.cnki.com.cn/Article/CJFDTOTAL-DQJS201803030.htm
[8]	Karakose E, Gencoglu M T, Karakose M, et al. A new arc detection method based on fuzzy logic using S-transform for pantograph-catenary systems[J]. Journal of Intelligent Manufacturing, 2015(4): 1-18.
[9]	王万岗, 马东, 蒋强, 等. 电弧型电气火灾检测方法研究[J]. 自动化仪表, 2013, 34(6): 16-19. https://www.cnki.com.cn/Article/CJFDTOTAL-ZDYB201306008.htm Wang Wangang, Ma Dong, Jiang Qiang, et al. Research on arc type electrical fire detection method. Automatic Instruments, 2013, 34(6): 16-19 https://www.cnki.com.cn/Article/CJFDTOTAL-ZDYB201306008.htm
[10]	赵洋. 低压串联电弧故障的诊断研究与应用[D]. 沈阳: 沈阳工业大学, 2014. Zhao Yang. Diagnostic research and application of low voltage series arc fault. Shenyang: Shenyang University of Technology, 2014
[11]	GB/T 31143-2014, 电弧故障保护电器(AFDD)的一般要求[S]. GB/T 31143-2014, General requirements for arc fault protection appliances(AFDD)
[12]	丁俊. 故障电弧检测技术的研究[D]. 沈阳: 沈阳工业大学, 2016. Ding Jun. Research on arc fault detection technology. Shenyang: Shenyang University of Technology, 2016
[13]	段培永, 窦甜华, 段晨旭, 等. 低压供配电线路故障电弧检测方法[J]. 消防科学与技术, 2011, 30(7): 617-620. https://www.cnki.com.cn/Article/CJFDTOTAL-XFKJ201107023.htm Duan Peiyong, Dou Tianhua, Duan Chenxu, et al. Low-voltage power supply and distribution line fault arc detection method. Fire Science and Technology, 2011, 30(7): 617-620 https://www.cnki.com.cn/Article/CJFDTOTAL-XFKJ201107023.htm
[14]	Park D W, Kim I K, Choi S Y, et al. Detection algorithm of series arc for electrical fire prediction[C]// IEEE International Conference on Condition Monitoring and Diagnosis. 2008: 716-719.
[15]	Lezama J, Schweitzer P, Tisserand E, et al. An embedded system for AC series arc detection by inter-period correlations of current[J]. Electric Power Systems Research, 2015, 129(2): 227-234.
[16]	Lezama C J, Schweitzer P, Weber S, et al. Arcing detection at home system using correlation analysis[C]//The 27th International Conference on Electrical Contacts. 2014: 1-6.

Relative Articles

[1]	Zhang Yimo, Yang Biao, Peng Xingyu, Hu Qingyuan, Zhu Xuebin, You Haibo, Zhang Faqiang, Peng Taiping. In-situ calibration of the efficiency of a yttrium activation detection system by the accelerator-based DD fusion neutron source[J]. High Power Laser and Particle Beams, 2025, 37(1): 016003. doi: 10.11884/HPLPB202537.240265
[2]	Liu Minjun, Shi Rui, Yang Guang, Wang Bo, Wang Zhou, Zeng Xiong, Yan Chengjie. Research and software design of α particle energy spectrum simulation based on Geant4[J]. High Power Laser and Particle Beams, 2023, 35(12): 126003. doi: 10.11884/HPLPB202335.230143
[3]	Zhu Wenchao, Lin Hanshang, Zhou Zeran, Jiang Shiping. Development of a neutron monitor based on embedded EPICS[J]. High Power Laser and Particle Beams, 2021, 33(2): 026001. doi: 10.11884/HPLPB202133.200168
[4]	Li Peng, Qiu Ruiyang, Li Fang, Xu Zhihong, Wang Anxin, Huang Yuling, MENG Ming, Xu Taoguang. CSNS Linac beam current measurement system[J]. High Power Laser and Particle Beams, 2018, 30(7): 075101. doi: 10.11884/HPLPB201830.180034
[5]	Sun Jilei, Li Fang, Wang Anxin, Xu Taoguang. Design of the wall current monitor system at CSNS rapid cycling synchrotron[J]. High Power Laser and Particle Beams, 2018, 30(12): 125103. doi: 10.11884/HPLPB201830.180224
[6]	Yan Yucheng, Liu Mingzhe, Fu Yu, Li Wenzhong, Yan Zelin. Numerical calculation of detection efficiency of response functions of Segmented Gamma Scanning system[J]. High Power Laser and Particle Beams, 2018, 30(6): 066001. doi: 10.11884/HPLPB201830.170245
[7]	Xu Yangyang, Tuo Xianguo, Shi Rui, Zheng Honglong, Liu Yuqi. Alpha radioactive source spectrum measurement simulationbased on Monte Carlo method[J]. High Power Laser and Particle Beams, 2017, 29(04): 044001. doi: 10.11884/HPLPB201729.160481
[8]	Li Jin, Zhou Wei, Yao Fei, Yang Su, Zhang Rui. Design research of whole body counter based on Monte Carlo method[J]. High Power Laser and Particle Beams, 2017, 29(12): 126005. doi: 10.11884/HPLPB201729.170235
[9]	Xu Yangyang, Tuo Xianguo, Shi Rui, Zheng Honglong, Liu Yuqi. Monte Carlo simulation and influencing factors of detection efficiency of PIPS-α spectrometer[J]. High Power Laser and Particle Beams, 2017, 29(10): 106002. doi: 10.11884/HPLPB201729.170108
[10]	Zheng Honglong, Tuo Xianguo, Shi Rui, Zhang Guiyu, Han Qiang, Cheng Yiming. Sourceless efficiency calibration of well-type high purity germanium detector for volume source sample[J]. High Power Laser and Particle Beams, 2017, 29(12): 126001. doi: 10.11884/HPLPB201729.170240
[11]	Li Mingxu, Lei Ming. Simulation of detector efficiency for online liquid gamma monitor XH-3130A with MCNP[J]. High Power Laser and Particle Beams, 2017, 29(12): 126010. doi: 10.11884/HPLPB201729.170241
[12]	Tian Zining, Ouyang Xiaoping, Han Bin, Chen Wei, Su Chuanying, Liu Wenbiao, Tian Yanjie, Feng Tiancheng. Dynamic calibration method for detection efficiency of radioactive source[J]. High Power Laser and Particle Beams, 2016, 28(10): 106002. doi: 10.11884/HPLPB201628.151146
[13]	Wei Weiwei, Du Qiang, Wang Li, Yu Xunzhen, Zhang Caixun, Xing Haoyang, Lin Shin-Ted, Tang Changjian, Yue Qian, Zhu Jingjun. Manufacture of gadolinium-doped liquid scintillator detector[J]. High Power Laser and Particle Beams, 2015, 27(06): 066001. doi: 10.11884/HPLPB201527.066001
[14]	Song Zifeng, Chen Jiabin, Liu Zhongjie, Zhan Xiayu, Tang Qi. Evaluation of uncertainty in DD neutron yield diagnosis by indium activation[J]. High Power Laser and Particle Beams, 2014, 26(03): 032004. doi: 10.3788/HPLPB201426.032004
[15]	Wen Xianlun, Wei Lai, He Yingling, Zhang Faqiang, Hong Wei, Cao Leifeng, Gu Yuqiu. Calibration of K_α single-photon counting CCD[J]. High Power Laser and Particle Beams, 2013, 25(12): 3163-3167. doi: 3163
[16]	Zhang Jinzhao, Tuo Xianguo, Li Zhe, Li Li, Wan Zhixiong. Monte Carlo simulation of radiation measurement of Na activation in blood[J]. High Power Laser and Particle Beams, 2013, 25(01): 189-192. doi: 10.3788/HPLPB20132501.0189
[17]	He ZHexi, Li CHunHua, Qu Huamin, Xu Guanglei, Zou Yiqing. Design of primary stripper foil changer for CSNS/RCS[J]. High Power Laser and Particle Beams, 2012, 24(12): 2885-2888. doi: 10.3788/HPLPB20122412.2885
[18]	Yang Zhaorui, Yuan Ping, Li Zhongwen, Yang Zhihu. L-shell X-ray emission measurement of Au plasma produced by intense femtosecond laser[J]. High Power Laser and Particle Beams, 2012, 24(08): 1896-1900. doi: 10.3788/HPLPB20122408.1896
[19]	liu wei, yan xue-qing, guo zhi-yu, lu yuan-rong, zhu kun, gao shu-li, fang jia-xun, chen jia-er. RFQ accelerator used as neutron source for BNCT[J]. High Power Laser and Particle Beams, 2007, 19(10): 0- .
[20]	zhang shuang-gen, huang wen-zhong, gu yu-qiu, jiang gang, xiong yong, wen xian-lun, wang guang-chang. Calibration of single-photon counting X-ray CCD[J]. High Power Laser and Particle Beams, 2006, 18(01): 0- .

Supplements(0)

Cited By

Cited by

Periodical cited type(3)

1.	杨浩，闫二艳，郑强林，鲍向阳，胡海鹰. S波段速调管微波源测控一体化及输出特性. 太赫兹科学与电子信息学报. 2021(01): 71-74 .
2.	熊久良，武占成，孙永卫，毕军建. 多自由度全自动引信辐照实验台的研制与性能测试. 高电压技术. 2017(05): 1715-1721 .
3.	熊久良. 典型米波无线电引信电磁脉冲辐照效应. 高电压技术. 2017(10): 3371-3380 .