The Use of Big Data in Predictive Maintenance for Aerospace Systems

Abstract

The application of big data analytics in predictive maintenance is revolutionizing the aerospace industry by enabling more efficient and reliable aircraft operations. This article explores the role of big data in predicting and preventing aircraft failures before they occur, reducing downtime, and enhancing safety. By analyzing data from various sources, including sensors, historical maintenance records, and operational data, aerospace engineers can anticipate issues and implement timely interventions. The article also highlights key technologies and methodologies, such as machine learning, data mining, and the Internet of Things (IoT), which play a crucial role in predictive maintenance strategies.