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February 3, 2026Journal of Power Electronics

Denoising of partial discharge signals based on adaptive singular value decomposition and discrete wavelet transform

Yun Zhao Hong Liu Rui Tang Heng Niu Dong Sun Hongyi Lin

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Key Points

Effective denoising of partial discharge signals enhances detection accuracy, and improves reliability in monitoring systems.
Signal processing techniques like adaptive singular value decomposition combined with discrete wavelet transform are employed.
Assessment using simulation models indicates up to 30% reduction in noise levels, enhancing the clarity of signals.
May enable more accurate diagnostics in electrical equipment to prevent potential failures and improve safety.

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Implication

This analysis demonstrates effective denoising of partial discharge signals in electrical systems, suggesting improved fault detection.

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Cite This Study

Zhao et al. (2026) studied this question.

synapsesocial.com/papers/69a76088c6e9836116a2d5e9 https://doi.org/10.1007/s43236-026-01286-4

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Keep reading

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