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Volumn 41, Issue 2, 2006, Pages 150-153

Compound approach of predicting fault gases dissolved in transformer oil

Author keywords

GM (1,1); Prediction of fault gas; Self learning BP neural network; Time sequence; Transformer oil

Indexed keywords

ACCIDENT PREVENTION; ELECTRIC POWER SYSTEMS; FORECASTING; NEURAL NETWORKS;

EID: 33745118677     PISSN: 02582724     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (11)

References (7)
  • 1
    • 0038005389 scopus 로고    scopus 로고
    • New techniques for dissolved gas-in-oil analysis
    • DUVAL M. New techniques for dissolved gas-in-oil analysis[J]. Electrical Insulation Magazine, IEEE, 2003, 19(2): 6-15.
    • (2003) Electrical Insulation Magazine, IEEE , vol.19 , Issue.2 , pp. 6-15
    • Duval, M.1
  • 2
    • 0035481368 scopus 로고    scopus 로고
    • A comparative study of neural network efficiency in power transformers diagnosis using dissolved gas analysis
    • GUARDADO J L. A comparative study of neural network efficiency in power transformers diagnosis using dissolved gas analysis[J]. IEEE Trans on Power Delivery, 2001, 16(4): 643-647.
    • (2001) IEEE Trans on Power Delivery , vol.16 , Issue.4 , pp. 643-647
    • Guardado, J.L.1
  • 3
    • 0035284506 scopus 로고    scopus 로고
    • Prediction of the dissolved in power transformer oil by the grey model
    • LUO Yunbai. Prediction of the dissolved in power transformer oil by the grey model[J]. Proceeding of CSEE, 2001, 21(3): 65-69.
    • (2001) Proceeding of CSEE , vol.21 , Issue.3 , pp. 65-69
    • Luo, Y.1
  • 4
    • 33644495561 scopus 로고    scopus 로고
    • New gray prediction parameter model and its application in electrical insulation fault prediction
    • SUN Caixin, BI Weimin. New gray prediction parameter model and its application in electrical insulation fault prediction[J]. Control Theory and Application, 2003, 20(5): 797-801.
    • (2003) Control Theory and Application , vol.20 , Issue.5 , pp. 797-801
    • Sun, C.1    Bi, W.2
  • 5
    • 33745149834 scopus 로고    scopus 로고
    • An prediction model for dissolved gas in transformer oil based on statistical learning theory
    • WANG Peng. An prediction model for dissolved gas in transformer oil based on statistical learning theory[J]. High Voltage Engineering, 2003, 29(11): 13-14
    • (2003) High Voltage Engineering , vol.29 , Issue.11 , pp. 13-14
    • Wang, P.1
  • 6
    • 0031146645 scopus 로고    scopus 로고
    • An on-line self-learning power system stabilizer using a neural network method
    • CHENG Shijie, ZHOU Rujing, GUAN Lin. An on-line self-learning power system stabilizer using a neural network method[J]. IEEE Trans. on Power Systems, 1997, 12(2): 926-931.
    • (1997) IEEE Trans. on Power Systems , vol.12 , Issue.2 , pp. 926-931
    • Cheng, S.1    Zhou, R.2    Guan, L.3
  • 7
    • 13944284511 scopus 로고    scopus 로고
    • Variable-air-volume air-conditioning system a based on PID-ANN decoupling control technology
    • FU Ronghai, LI Meng. Variable-air-volume air-conditioning system a based on PID-ANN decoupling control technology[J]. Journal of Southwest Jiaotong University, 2005, 40(1): 13-17.
    • (2005) Journal of Southwest Jiaotong University , vol.40 , Issue.1 , pp. 13-17
    • Fu, R.1    Li, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.