Abstract <p>Aluminum plates are widely used in various industrial fields such as aerospace and automotive manufacturing, and their structural integrity directly affects the safe operation and service life of equipment. Therefore, research on damage identification of aluminum plates is of great significance. This study explores the identification of aluminum plate damage based on guided waves and correntropy spectral density. Guided waves have advantages such as long propagation distance and sensitivity to small defects, and can be used as effective excitation signals for detecting aluminum plate damage. The correntropy spectral density can extract damage related feature information from complex signals, improve the accuracy of damage identification, and have a certain degree of noise resistance. By arranging sensors on aluminum plates, collecting guided wave signals, processing and analyzing the signals using relevant entropy spectral density, a damage identification model for aluminum plates is constructed. The experimental results show that this method can accurately identify the location and degree of damage to aluminum plates, and has significantly improved recognition accuracy and anti-interference ability compared to traditional methods. This study provides a new technological approach for efficient and accurate detection of aluminum plate damage, which has important practical value for ensuring the safe and stable operation of related industrial equipment.</p>