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

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.