Automatic identification of electric loads using switching transient current signals

Thiruvaran, T.; Phung, T.; Ambikairajah, E.

dc.contributor.author	Thiruvaran, T.
dc.contributor.author	Phung, T.
dc.contributor.author	Ambikairajah, E.
dc.date.accessioned	2021-03-25T04:43:58Z
dc.date.accessioned	2022-06-27T10:02:35Z
dc.date.available	2021-03-25T04:43:58Z
dc.date.available	2022-06-27T10:02:35Z
dc.date.issued	2013
dc.identifier.citation	Thiruvaran, T., Phung, T., & Ambikairajah, E. (2013, April). Automatic identification of electric loads using switching transient current signals. In IEEE 2013 Tencon-Spring (pp. 252-256). IEEE.	en_US
dc.identifier.uri	http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/2115
dc.description.abstract	The automatic identification of different electric loads using the current waveform at the time of switching, is analysed in this paper. The time variation of the harmonics at the time of switching is modelled using the Hidden Markov Model with Gaussian Mixture Models representing the probabilities. Short Time Fourier Transform (STFT) and Wavelet Transform (WT) based features are compared at their optimum configurations. The STFT based feature gave an accuracy of 97.9% while the WT features provided an accuracy of 93.75% in a cross fold validation experiment.	en_US
dc.language.iso	en	en_US
dc.publisher	IEEE	en_US
dc.subject	Electric load identification	en_US
dc.subject	harmonic analysis	en_US
dc.title	Automatic identification of electric loads using switching transient current signals	en_US
dc.type	Article	en_US