What are some challenges in extracting features of high-frequency switching transient signals of low-power level electrical appliances?
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The challenges in extracting features of high-frequency switching transient signals of low-power level electrical appliances include the difficulty in characterizing transient signals due to their short duration and wide frequency content . Existing methods such as spectrogram and wavelet decomposition have limitations in discriminating near similar transients . Additionally, the turn-on transient current of electrical appliances tends to decay to a steady state that is different from the one preceding it, making the commonly used superimposed damped sinusoids (SDS) model inadequate . To address these challenges, new models and algorithms have been proposed, such as the multi-lag phase space analysis for characterizing transients , and the use of Prony's method for estimating harmonic content and damping factor . These approaches have shown promising results in accurately extracting features and classifying different waveforms of electrical appliances .
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| The provided paper does not mention any challenges in extracting features of high-frequency switching transient signals of low-power level electrical appliances. | |
10 Dec 2002 31 Citations | The provided paper does not mention any challenges in extracting features of high-frequency switching transient signals of low-power level electrical appliances. |
| The provided paper does not mention any challenges in extracting features of high-frequency switching transient signals of low-power level electrical appliances. | |
01 Sep 2014 | The provided paper does not specifically mention the challenges in extracting features of high-frequency switching transient signals of low-power level electrical appliances. |
01 Dec 2019 1 Citations | The provided paper does not mention any challenges in extracting features of high-frequency switching transient signals of low-power level electrical appliances. |
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