Partial Discharge Exponential Decay Signal Generation with Noise Handling

This system implements a comprehensive solution for partial discharge signal simulation and processing, featuring exponential decay signal generation, noise injection, and denoising algorithms. In partial discharge testing, we utilize an advanced exponential decay signal generation program that simulates the attenuation process of partial discharge signals through mathematical modeling, typically using functions like A*exp(-t/τ) where A represents amplitude and τ is the time constant. To better simulate real-world partial discharge scenarios, we incorporate a noise injection module that adds realistic interference patterns using Gaussian or white noise algorithms with configurable signal-to-noise ratios. However, the presence of noise can obscure or distort the original signals. Our developed denoising program effectively removes noise components using digital signal processing techniques such as wavelet transform filters or adaptive filtering algorithms, enhancing signal clarity for accurate analysis. This integrated approach enables precise detection and identification of partial discharge phenomena, providing robust tools and support for research and applications in related fields through MATLAB-based implementation with configurable parameters for different experimental conditions.