• Asha Bhatane
• K Chandra Obula Reddy

Over the years, the HVDC system has become virtually mature, but there are still some protective issues to be addressed, such as the circuit breaker (CB) being selective not to travel if the transient is temporary, such as overcurrent due to load change. This paper is based on the measuring the DC line current (Idc) signal. Then that measured signal is preprocessed to remove the noise and Creates number of frames of the measured current signal by the window method. The values of currents are measured and modified accordingly and are ultimately fed into the wavelet transform as inputs. Then wavelet transform can decompose that current signal into approximation and detail coefficients up to level10

HVDC, Circuit Breaker (CB), DC Line Current (Idc) Signal, Wavelet Transform, Window Method

"Identification and Classification of Faults in HVDC System using Wavelet Transform and Artificial Neural Network ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.163-169, June 2019, Available :http://www.jetir.org/papers/JETIR1906X56.pdf

"Identification and Classification of Faults in HVDC System using Wavelet Transform and Artificial Neural Network ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp163-169, June 2019, Available at : http://www.jetir.org/papers/JETIR1906X56.pdf