Artificial Intelligence Applications in Aeronautical and Aerospace Engineering

8Utilizing AI Techniques for Detecting Damage in Aerospace Applications

Rakesh Kumar C.¹*, Naveen R.², Kowsalya³, Fadhilah Mohd Sakri⁴ and Prasath M.S.⁵

¹ Aeronautical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India

² Aeronautical & Aerospace Engineering, KCG College of Technology, Chennai, India

³ Mathematics, School of Advanced Sciences, VIT University, Chennai, India

⁴ Department of Aerospace, Universiti Kuala Lumpur, Kuala Lumpur, Malaysia

⁵ Department of Aeronautical Engineering, KCG College of Technology, Chennai, India

Abstract

This chapter examines the integration of artificial intelligence (AI) techniques for damage detection within aerospace applications, showcasing their role in redefining structural integrity assessment and maintenance. AI-driven approaches play a crucial part in elevating aerospace system safety and dependability. Ranging from advanced sensor technologies to machine learning algorithms, AI expedites the real-time analysis and comprehension of intricate datasets, enabling the identification and quantification of damage, including structural anomalies, fatigue cracks, and material deterioration. The utilization of AI empowers aerospace engineers to anticipate potential failure points, optimize maintenance timelines, and extend the operational longevity of critical elements. The chapter explores the application of AI methodologies such as neural networks, pattern recognition, and anomaly detection, ...