참고문헌 (15)

1. 10.1109/UPEC.2016.8114077 Eristi B, Yildirim O, Eristi H, Demir Y (2016) A real-time power quality disturbance detection system based on the wavelet transform. In: 2016 51st International universities power engineering conference (UPEC) 

   

2. IEEE Trans Power Deliv F Zhao 22 2 944 2007 10.1109/TPWRD.2006.881575 Zhao F, Yang R (2007) Power-quality disturbance recognition using S-transform. IEEE Trans Power Deliv 22(2):944-950 

   상세보기

3. IEEE Trans Power Syst N Senroy 22 4 1843 2007 10.1109/TPWRS.2007.907542 Senroy N, Suryanarayanan S, Ribeiro PF (2007) An improved hilbert-huang method for analysis of time-varying waveforms in power quality. IEEE Trans Power Syst 22(4):1843-1850 

   상세보기

4. IEEE Trans Power Deliv S-H Cho 25 1 494 2010 10.1109/TPWRD.2009.2034832 Cho S-H, Jang G, Kwon S-H (2010) Time-frequency analysis of power-quality disturbances via the Gabor-Wigner transform. IEEE Trans Power Deliv 25(1):494-499 

   상세보기

5. KIEE J Electr Eng Technol S-H Cho 9 4 1210 2014 10.5370/JEET.2014.9.4.1210 Cho S-H, Hur J, Chung I-Y (2014) An applicability of teager energy operator and energy separation algorithm for waveform distortion analysis: harmonics, inter-harmonics and frequency variation. KIEE J Electr Eng Technol 9(4):1210-1216 

   원문보기 상세보기

6. Int J Fuzzy Logic Intell Syst S-H Cho 12 1 42 2012 10.5391/IJFIS.2012.12.1.42 Cho S-H, Kim J-U, Chung I-Y, Han J-H (2012) Determination of power-quality disturbances using Teager energy operator and Kalman filter algorithms. Int J Fuzzy Logic Intell Syst 12(1):42-46 

   원문보기 상세보기

7. IEEE Trans Power Deliv H He 21 1 286 2006 10.1109/TPWRD.2005.852392 He H, Starzyk JA (2006) A self-organizing learning array system for power quality classification based on wavelet transform. IEEE Trans Power Deliv 21(1):286-295 

   상세보기

8. Appl Soft Comput P Kanirajan 35 470 2015 10.1016/j.asoc.2015.05.048 Kanirajan P, Suresh Kumar V (2015) Power quality disturbance detection and classification using wavelet and RBFNN. Appl Soft Comput 35:470-481 

   상세보기

9. Hu G-S, Xie J , Zhu F-F (2005) Classification of power quality disturbances using wavelet and fuzzy support vector machines. In: 2005 International conference on machine learning and cybernetics, pp 18-21 

10. IEEE Trans Power Deliv PGV Axelberg 22 3 1297 2007 10.1109/TPWRD.2007.900065 Axelberg PGV, Gu IY-H, Bollen MHJ (2007) Support vector machine for classification of voltage disturbances. IEEE Trans Power Deliv 22(3):1297-1303 

    상세보기

11. 10.1109/ECTICON.2009.5136965 Susukh J, Premrudeepreechacharn S, Kasirawat T (2009) Power quality problem classification using support vector machine. In: 2009 6th International conference on electrical engineering/electronics, computer, telecommunications and information technology, pp 58-61 

    

12. Electr Power Compon Syst Z Moravej 38 2 182 2009 10.1080/15325000903273387 Moravej Z, Abdoos AA, Pazoki M (2009) Detection and classification of power quality disturbances using wavelet transform and support vector machines. Electr Power Compon Syst 38(2):182-196 

    상세보기

13. KIEE J Electr Eng Technol J-H Yoo 10 6 2442 2015 10.5370/JEET.2015.10.6.2442 Yoo J-H, Shin S-K, Park J-Y, Cho S-H (2015) Advanced railway power quality detecting algorithm using a combined TEO and STFT method. KIEE J Electr Eng Technol 10(6):2442-2447 

    원문보기 상세보기

14. 10.1109/ICHQP.2002.1221436 Piekarz M, Szlosek M, Hanzelka Z, Bien A, Stankiewicz A, Hartman M (2002) Comparative tests of flickermeters. In: 10th International conference on harmonics and quality of power (ICHQP) 2002, Rio de Janeiro, Brazil, vol 2, pp 220-227 

    

15. Electromagnetic Compatibility (EMC) (2003) Part 4, Section 15: flickermeter-functional and design specifications, IEC Standard 61000-4-15, Edition 1.1