ArticleSensors (Basel, Switzerland)2022
A Denoising Method for Mining Cable PD Signal Based on Genetic Algorithm Optimization of VMD and Wavelet Threshold.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Partial Discharge-Based Cable Vulnerability Ranking with Fuzzy and FAHP Models: Application in a Danish Distribution Network.Sensors (Basel, Switzerland) · 2025Article
- Novel Reference Method for the Characterization of PD Measuring Systems Using HFCT Sensors.Sensors (Basel, Switzerland) · 2024Article
- Scale Modular Test Platform for the Characterization of PD Measuring Systems Using HFCT Sensors.Sensors (Basel, Switzerland) · 2024Article
- A Novel Joint Denoising Method for Hydrophone Signal Based on Improved SGMD and WT.Sensors (Basel, Switzerland) · 2024Article
- The Denoising Method for Transformer Partial Discharge Based on the Whale VMD Algorithm Combined with Adaptive Filtering and Wavelet Thresholding.Sensors (Basel, Switzerland) · 2023Article
- Metrological Qualification of PD Analysers for Insulation Diagnosis of HVDC and HVAC Grids.Sensors (Basel, Switzerland) · 2023Article
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4 authors.
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Abstract
When the pulse current method is used for partial discharge (PD) monitoring of mining cables, the detected PD signals are seriously disturbed by the field noise, which are easily submerged in the noise and cannot be extracted. In order to realize the effective separation of the PD signal and the interference signal of the mining cable and improve the signal-to-noise ratio of the PD signal, a denoising method for the PD signal of the mining cable based on genetic algorithm optimization of variational mode decomposition (VMD) and wavelet threshold is proposed in this paper. Firstly, the genetic algorithm is used to optimize the VMD, and the optimal value of the number of modal components
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