Study on Signal Noise Reduction Based on Wavelet Threshold Technique

This chapter delves into the critical issue of signal noise reduction in electrical equipment, focusing on the wavelet threshold technique. It begins with an introduction to local discharge phenomena, which can degrade equipment performance and lead to safety hazards. The text then explores the principles of wavelet analysis, including the selection of wavelet functions and the process of wavelet transform. A key highlight is the comparison of traditional hard and soft threshold functions, leading to the development of an enhanced threshold function that offers superior smoothness and denoising effectiveness. The chapter also discusses the importance of choosing the right wavelet bases and threshold methods for optimal results. Practical applications and MATLAB simulations validate the effectiveness of the proposed methods. By the end, readers will gain a comprehensive understanding of how wavelet threshold techniques can significantly improve signal quality and accuracy, making it an essential read for professionals in the field.