메뉴 건너뛰기




Volumn 1, Issue 7, 2009, Pages 522-526

On-line detection of voltage transient disturbances using ANNs

Author keywords

Artificial neural networks; Electrical power quality; Feedforward; Measurement; Transient disturbances

Indexed keywords


EID: 84879970277     PISSN: None     EISSN: 2172038X     Source Type: Journal    
DOI: 10.24084/repqj07.406     Document Type: Article
Times cited : (3)

References (6)
  • 1
    • 85073386520 scopus 로고    scopus 로고
    • European Standard UNE-EN 50160: Voltage characteristics on public distribution grids”. AENOR
    • “European Standard UNE-EN 50160: Voltage characteristics on public distribution grids”. AENOR,2001.
    • (2001)
  • 4
    • 0031274056 scopus 로고    scopus 로고
    • Fast Estimation of Voltage and Current Phasors in Power Networks Using an Adaptive Neural Network
    • “Fast Estimation of Voltage and Current Phasors in Power Networks Using an Adaptive Neural Network”. P. K. Dash, S. K. Panda, D. P. Swain. IEEE Transactions on Power Systems, vol. 4, no. 12, 1997, pp. 1494-1499.
    • (1997) IEEE Transactions on Power Systems , vol.4 , Issue.12 , pp. 1494-1499
    • Dash, P.K.1    Panda, S.K.2    Swain, D.P.3
  • 5
    • 18944383577 scopus 로고    scopus 로고
    • A new technique for unbalance current and voltage estimation with neural networks
    • “A new technique for unbalance current and voltage estimation with neural networks”. F. J. Alcántara, P. Salmerón. IEEE Trans. On Power Systems, Vol. 20, No. 2, 2005, pp. 852-858.
    • (2005) IEEE Trans. on Power Systems , vol.20 , Issue.2 , pp. 852-858
    • Alcántara, F.J.1    Salmerón, P.2
  • 6
    • 0031176903 scopus 로고    scopus 로고
    • Power quality disturbance data compression using wavelet transforms methods
    • July
    • “Power quality disturbance data compression using wavelet transforms methods”, S. Santoso, E.J. Powers, IEEE Trans. On Power delivery, Vol 12, No 3, July 1997.
    • (1997) IEEE Trans. on Power Delivery , vol.12 , Issue.3
    • Santoso, S.1    Powers, E.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.