Utilizing Artificial Intelligence for Predictive Maintenance in Aircraft: Enhancing Efficiency, Safety, and Operational Reliability

Abstract

Artificial intelligence (AI) based predictive maintenance in the aviation is revolutionizing the aircraft maintenance and operation. AI systems can even predict potential faults before they occur by reading data from an array of aircraft sensors, and therefore initiate timely and effective repair initiatives. By applying a proactive rather than reactive strategy, the maintenance expenses decrease, safety increases and unscheduled downtime decreases. Predictive maintenance uses artificial intelligence (AI) by using technologies like machine learning, data analytics, and internet of things (IoT) to keep monitoring and checking the rest state of a aircraft parts continuously. This review lays out in tremendous detail the advantages of AI-based predictive maintenance, its impact on the aviation industry and how it works. Thus, anyone could understand the sense of and great possibilities of the AI predictive maintenance. Predictive maintenance provides a great chance for airlines to save expenses, boost operational effectiveness and safety. The difficulties to put these ideas into practice are far outweighed by their possible advantages. As technology advances, predictive maintenance will become an important facet in modern aviation, allowing airlines to run more efficiently as well as give customers more service. By utilizing cutting edge sensors and data analytics, as well as machine learning, airlines can flip from reactive to proactive maintenance and ensure that at all times their fleet is in top shape. Beyond that, this method makes air travel safer and more reliable which means saving money as well.