AVIATAR – Deep dive into prediction with AVIATAR with in-service examples from airlines

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Published Sep 4, 2023
Sebastian Lang

Abstract

This paper demonstrates how AVIATAR prediction successfully improves operational stability.It will explain a specific use case example, presented with customers to complete the holistic view on big data models and predictive recommendations through the eyes of an airline. A deep dive int he ATAchapter36 (EBASS-suite) will illustrate how Lufthansa Technik’s predictive maintenance knowledge achieves numerous cost savings and provides increased operational stability.

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Keywords

Predictive health analytics, predictive maintenance artificial intelligence, big data, airline operations, digital platform

References
Lufthansa Technik AG, "AVIATAR-The Digital OperationsSuite," [Online]. www.lufthansa-technik.com/aviatar.AVIATAR websitewww.aviatar.com
Section
Special Session Papers