Predictive Maintenance of Aircraft using Data Analytics and Machine Learning

Abstract

The nature of international business is changing as a result of big data and AI/ML. Today, data is the most important asset for businesses across all sectors. Businesses are utilizing data-driven insights to gain a competitive edge. As a result, machine learning-based data analytics are quickly gaining traction in a variety of industries, creating autonomous systems that assist in human decision-making. In the aviation industry, machine learning algorithms can handle massive amounts of diverse data, eliminating extraneous data points to produce a precise image of each individual aircraft component. Multiple condition-based monitoring and predictive maintenance processes are made more efficient by this feature. Data from several sources, including flight data recorders and logbooks, are used by machine learning for predictive maintenance in the aviation industry.