Airlines use AI systems with built-in machine learning algorithms to collect and analyze flight data regarding each route distance and altitudes, aircraft type and weight, weather, etc. Based on findings from data, systems estimate the optimal amount of fuel needed for a flight. Benefits for the company Improvements in fuel consumption and optimizations saves huge …
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Predict Wear and Tear Predictive Maintenance
The Natural Language Processing analyzes text data to extract information. It helps to identify words bearing a negative, positivCarriers deploy predictive maintenance solutions to better manage data from aircraft health monitoring sensors. Usually, these systems are compatible with both desktop and mobile devices, granting technicians access to real-time and historical data from any location. Knowing …
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Raise Safety Standards
In the area of Aerospace engineering, aircraft manufacturers are leveraging Data Science to make flying safer than before. Weather patterns and maintenance schedules are thoroughly analysed.Data is collected, starting from flight takeoff down to landing.Data patterns are driven and supported by analysis and algorithms to help create a safer and more expedited travel experience. Benefits …
Enhance Design Accuracy
Data Science has been helping to collect data on aircrafts for years ranging from binary data such as speed, altitude, and stability of the aircraft during flight. Damage and crack growth progression are also analysed at service intervals. To enhance the design accuracy in the field of aerospace engineering Benefits for the company Ability to …