The aviation sector is experiencing rapid advancements in the use of modern technologies, particularly artificial intelligence, to develop aircraft engine maintenance methods and improve operational efficiency. Smart maintenance is considered one of the emerging engineering approaches that helps detect early warning signs of failures and reduce unplanned downtime. Smart maintenance relies on analyzing engine operating data, such as temperature, pressure, and vibration, using artificial intelligence and machine learning techniques. The aim is to monitor engine performance and predict potential failures before they become more serious. This approach helps identify maintenance requirements more accurately and reduces the time and costs associated with emergency repairs. The importance of these technologies in aviation engineering lies in supporting maintenance engineers in making technical decisions, improving aircraft engine reliability, and enhancing aviation safety. They also contribute to more efficient maintenance management and the optimal use of technical resources. However, it is essential to comply with approved maintenance procedures and verify the accuracy of intelligent systems before relying on their results. Smart maintenance represents an important step toward a more advanced future in aviation engineering. By combining engineering expertise with intelligent data analysis, it supports the long-term operational performance of aircraft engines and contributes to improving the efficiency and safety of the aviation sector.