%0 Generic %1 saini12013application %A Saini1, Manish Kumar %A Dhamija, Komal %B 2013 Mobile Communication - II %D 2013 %E Shankaranarayanan, Dr. %I ACEEE (A Computer division of IDES) %K Events Hilbert–Huang Power Quality %T Application of Hilbert-Huang Transform in the Field of Power Quality Events Analysis %U http://searchdl.org/public/book_series/LSCS/3/8.pdf %X This paper deals with the analysis of PQ abnormalities using Hilbert–Huang Transform (HHT). HHT can be applied to both non-stationary as well as non-linear signals and it provides the energy-frequency-time representation of the signal. HHT is a time–frequency analysis method having low order of complexity and does not include the frequency resolution and time resolution fundamentals. So, it has the potential to outperform the frequency resolution and time resolution based methods. Several cases have been considered to present the efficiency of HHT. For the case study, various PQ abnormalities like voltage sag, swell and harmonics with sag are considered. These PQ abnormalities are subjected to HHT and the results are shown in the form of IMFs, instantaneous frequency, absolute value, phase and Hilbert Huang Spectrum. The results shows that the HHT performs better than the any other time resolution and frequency resolution based methods.

@conference{saini12013application, abstract = {This paper deals with the analysis of PQ abnormalities using Hilbert–Huang Transform (HHT). HHT can be applied to both non-stationary as well as non-linear signals and it provides the energy-frequency-time representation of the signal. HHT is a time–frequency analysis method having low order of complexity and does not include the frequency resolution and time resolution fundamentals. So, it has the potential to outperform the frequency resolution and time resolution based methods. Several cases have been considered to present the efficiency of HHT. For the case study, various PQ abnormalities like voltage sag, swell and harmonics with sag are considered. These PQ abnormalities are subjected to HHT and the results are shown in the form of IMFs, instantaneous frequency, absolute value, phase and Hilbert Huang Spectrum. The results shows that the HHT performs better than the any other time resolution and frequency resolution based methods.}, added-at = {2014-02-05T05:54:10.000+0100}, author = {Saini1, Manish Kumar and Dhamija, Komal}, biburl = {https://www.bibsonomy.org/bibtex/29ca910b5be89a83fc5cfd86e610e6d13/idescitation}, booktitle = {2013 Mobile Communication - II}, editor = {Shankaranarayanan, Dr.}, interhash = {4790cb714d223bcc01157d3c4a309545}, intrahash = {9ca910b5be89a83fc5cfd86e610e6d13}, keywords = {Events Hilbert–Huang Power Quality}, organization = {Institute of Doctors Engineers and Scientists}, publisher = {ACEEE (A Computer division of IDES)}, timestamp = {2014-02-05T05:54:10.000+0100}, title = {Application of Hilbert-Huang Transform in the Field of Power Quality Events Analysis}, url = {http://searchdl.org/public/book_series/LSCS/3/8.pdf}, year = 2013 }