AVIATAR – Deep dive into prediction with AVIATAR with in-service examples from airlines
##plugins.themes.bootstrap3.article.main##
##plugins.themes.bootstrap3.article.sidebar##
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.
##plugins.themes.bootstrap3.article.details##
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
This work is licensed under a Creative Commons Attribution 3.0 Unported License.