Novel detection method for DC series arc faults by using morphological filtering

Journal of China Universities of Posts and Telecommunications

Volumn 22, Issue 5, 2015, Pages 84-91

  Luping, Chen ^a   Peng, Wang ^a   Liangjun, Xu ^a  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

arc fault; DC series arc; fault detection; mathematical morphology; structural elements

Indexed keywords

MATHEMATICAL MORPHOLOGY;

ARC FAULTS; DETECTION METHODS; ENVIRONMENT INTERFERENCE; MORPHOLOGICAL FILTERING; ONLINE MONITORING AND DIAGNOSIS; POWER ELECTRONICS SYSTEMS; SERIES ARC; STRUCTURAL ELEMENTS;

FAULT DETECTION;

EID: 84959260526     PISSN: 10058885     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1005-8885(15)60685-9     Document Type: Article

References (16)

1. X Yao, L Herrera, J Wang A series DC arc fault detection method and hardware implementation. Proceedings of the 28th Annual IEEE Applied Power Electronics Conference and Exposition (APEC'13), Mar 17-21, 2013, Long Beach, CA, USA 2013 IEEE Piscataway, NJ, USA 2444 2449
2. J Li, D W P Thomas, M Sumner et al. DC series arc generation, characteristic and modelling with arc demonstrator and shaking table. Proceedings of the 12th IET International Conference on Developments in Power System Protection (DPSP'14), Mar 31-Apr 3, 2014, Copenhagen, Denmark 2014 IEEE Piscataway, NJ, USA 5
3. S C Ji, Y Liu, Y Y Zhu et al. Study on the detection methods of DC series arc fault High Voltage Engineering 39 9 2013 2131 2137 (in Chinese)
4. G Artale, A Cataliotti, V Cosentino et al. Experimental characterization of series arc faults in AC and DC electrical circuits. Proceedings of the 2014 International Instrumentation and Measurement Technology Conference (I2MTC'14), May 12-15, 2014, Montevideo, Uruguay 2014 IEEE Piscataway, NJ, USA 1015 1020
5. G Healy, G Roemer Arc fault detection using Rogowski coils. Proceedings of the 2014 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management (PCIM Europe'14), May 20-22, 2014, Nuremberg, Germany 2014 IEEE Piscataway, NJ, USA 5
6. Y S Oh, T H Jung, D U Kim et al. A scheme for detecting DC series arc faults in low voltage distribution system. Proceedings of the 12th IET International Conference on Developments in Power System Protection (DPSP'14), Mar 31-Apr 3, 2014, Copenhagen, Denmark 2014 IEEE Piscataway, NJ, USA 6
7. J Wu Wavelet domain denoising method based on multistage median filtering The Journal of China Universities of Posts and Telecommunications 20 2 2013 113 119
8. L J Zhang, L X Zhang, J H Yang et al. Adaptive morphological filter to fault diagnosis of gearbox. Proceedings of the 2011 International Conference on Consumer Electronics, Communications and Networks (CECNet'11), Apr 16-18, 2011, Xianning, China 2011 IEEE Piscataway, NJ, USA 70 73
9. C Z Li, J J Cheng Mathematical morphological filter and its application in removing noises in vibration signal. Proceedings of the 8th International Conference on Electronic Measurement and Instruments (ICEMI'07), Aug 16-18, 2007, Xi'an, China 2007 IEEE Piscataway, NJ, USA 101 104
10. W B Zhang, H J Wang, R J Teng et al. Application of rank-order morphological filter in vibration signal de-noising. Proceedings of the 3rd International Congress on Image and Signal Processing (CISP'10), Oct 16-18, 2010, Yantai, China 2010 IEEE Piscataway, NJ, USA 4025 4027
11. N Wang, F C Lu, Y P Liu et al. Study on application of adaptive generalized morphological filter in processing on-line monitoring tan δ data Proceedings of the CSEE 24 2 2004 161 165 (in Chinese)
12. Y Pang, L Deng, J Z Lin et al. A method of removing baseline drift in ECG signal based on morphological filtering Acta Physica Sinica 63 9 2014 098701 (in Chinese)
13. B Li, P L Zhang, S S Mi et al. Mathematical morphology analysis and intelligent classification in mechanical fault signal 2011 National Defense Industry Press Beijing, China 30 32 (in Chinese)
14. J Andrea, P Schweitzer, J Martel Arc fault model of conductance: Application to the UL1699 tests modeling. Proceedings of the IEEE 57th Holm Conference on Electrical Contacts (Holm'11), Sept 11-14, 2011, Minneapolis, MN, USA 2011 IEEE Piscataway, NJ, USA 6
15. X Yao, L Herrera, S C Ji et al. Characteristic study and time-domain discrete-wavelet-transform based hybrid detection of series DC arc faults IEEE Transactions on Power Electronics 29 6 2014 3103 3115
16. X Yao, S C Ji, L Herrera et al. Series DC arc characteristic study and the application in fault recognition High Voltage Apparatus 48 5 2012 6 10 (in Chinese)