Manufacturers like Lockheed Martin need to keep their aircraft in top condition. Downtime is expensive. So, Lockheed relies on advanced predictive maintenance (PdM) solutions from SAS, with advanced analytics and AI, to keep their equipment in good repair.
Read this customer story to find out how SAS PdM can reduce your maintenance costs.
How does Lockheed Martin enhance aircraft maintenance?
Lockheed Martin utilizes SAS analytics and AI solutions to transform aircraft maintenance and fleet management. By leveraging IoT and machine learning, they can predict when parts are likely to fail, which enhances the reliability and availability of their aircraft. This predictive maintenance approach allows for timely interventions, reducing downtime and ensuring that aircraft are ready for critical missions.
What role does data play in aircraft readiness?
Each C-130J aircraft is equipped with over 600 sensors that generate approximately 3GB of data per hour. This data includes vital information such as vibrations and temperature readings. Lockheed Martin employs SAS analytics to analyze this data, enabling them to foresee potential failures and optimize maintenance schedules. This proactive approach helps ensure that aircraft are available for missions without unnecessary delays.
How does intelligent diagnostics improve maintenance?
The Intelligent Diagnostics tool developed by Lockheed Martin applies machine learning and IoT analytics to flight data, creating a central repository of information on over 300 aircraft parts. It tracks repair decisions and learns from them, allowing it to recommend troubleshooting steps and repairs in real time. This capability helps reduce downtime and improves the efficiency of maintenance operations, ultimately enhancing aircraft availability.
Sign in with LinkedIn