Abstract. The article investigates the causes, consequences, and prevention strategies related to aircraft engine failures. It provides a comprehensive classification of common engine malfunctions, examining mechanical wear, thermal stress, and operational factors that contribute to failures. A detailed analysis of statistical data on engine failure rates highlights critical trends and risk factors affecting engine performance and reliability. Furthermore, the study explores various diagnostic techniques designed to detect potential failures at early stages, reducing the likelihood of unexpected breakdowns. Modern aviation heavily relies on advanced maintenance strategies and cutting-edge technological solutions to enhance engine durability and efficiency. The article discusses preventive maintenance approaches, including predictive analytics, condition-based monitoring, and real-time diagnostics, which play a crucial role in minimizing failures. Additionally, the role of artificial intelligence and machine learning in fault detection and predictive maintenance is examined as a promising direction for improving aircraft engine reliability. The findings indicate that most engine malfunctions stem from mechanical degradation, excessive thermal loads, and human errors in operation and maintenance. Implementing regular inspections, utilizing advanced diagnostic tools, and integrating modern engineering solutions can significantly improve engine safety and longevity. The study underscores the necessity of continuous monitoring, timely preventive actions, and the adoption of innovative maintenance practices to enhance aviation safety and operational efficiency.

Keywords: aviation engines, fault analysis, aircraft maintenance, turbine inspection, non-destructive testing, thermal stress, mechanical wear, predictive maintenance, engine diagnostics.