Problem Statement
Ensuring the reliability and safety of aviation systems requires proactive
maintenance to prevent potential failures. An AI-driven predictive maintenance
system can help predict issues before they occur, reducing downtime and
enhancing safety.
Abstract
This project focuses on developing an AI-based predictive maintenance system
for aviation systems. Utilizing machine learning algorithms, the system will
analyze historical maintenance data, sensor readings, and usage patterns to
predict potential failures and recommend proactive maintenance actions,
contributing to improved aircraft reliability and safety.
Outcome
A robust predictive maintenance system for aviation systems, leveraging AI to
enhance the proactive maintenance approach, reduce downtime, and improve
overall aviation safety.