Integrating big data and artificial intelligence in aircraft maintenance for enhanced efficiency and reliability

The paper explores the challenges in aircraft maintenance and proposes a digital transformation using big data and artificial intelligence (AI). It highlights the inefficiencies in current maintenance practices, such as inconsistent record-keeping and difficulty in analyzing unstructured logs and proposes the AI-based Maintenance Advisor (MA) platform. This platform aims to reduce costs and delays by digitizing and structuring maintenance data, enabling AI-driven troubleshooting, and creating a knowledge base for technicians. The paper discusses the conceptual architecture of the platform, its capabilities like AI diagnostic assistants, and the benefits of faster troubleshooting, fewer misdiagnoses, improved aircraft availability, and cost savings. It also addresses implementation considerations and concludes with recommendations for realizing the Maintenance Advisor vision in aviation maintenance.