A method for leakage current denoising based on improved empirical mode decomposition
Journal of Electric Power Science and Technology, ISSN: 1673-9140, Vol: 38, Issue: 6, Page: 115-122
2023
- 37Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage37
- Downloads24
- Abstract Views13
Article Description
In order to effectively monitor the insulation condition of metal oxide arresters, a leakage current denoising method based on improved empirical mode decomposition is proposed. Firstly, the end point is extended to suppress the end effect by considering both waveform and amplitude similarity comprehensively, and then the leakage current signal without noise is reconstructed according to the comprehensive index that incorporates the smoothness and correlation of the intrinsic mode function. Subsequently, the weight parameters were dynamically adjusted and updated through the coordinate descent method to ensure the rationality and accuracy of the reconstructed signals. Finally, through analysis of simulated and measured data, it is confirmed that the proposed method can effectively eliminate the noise interference in the leakage current signal, and identify abnormal monitoring values, meeting the practical requirements of engineering.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85219150477&origin=inward; http://dx.doi.org/10.19781/j.issn.1673-9140.2023.06.012; https://jepst.researchcommons.org/journal/vol38/iss6/12; https://jepst.researchcommons.org/cgi/viewcontent.cgi?article=1652&context=journal; https://dx.doi.org/10.19781/j.issn.1673-9140.2023.06.012; https://www.chndoi.org/Resolution/Handler?doi=10.19781/j.issn.1673-9140.2023.06.012
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