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Retrospektive Diagnose Von Fehlerursachen an Antriebsstrangprüfständen Mithilfe Künstlicher Intelligenz
Paperback
Series: Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgar
Technology & EngineeringProgramming
ISBN13: 9783658440039
Publisher: Springer Vieweg
Published: Jan 20 2024
Pages: 138
Weight: 0.46
Height: 0.36 Width: 5.83 Depth: 8.27
Language: German
Antriebsstrangprüfstände leisten einen signifikanten Beitrag im Fahrzeugentwicklungsprozess. Um diesen Vorteil weiter auszubauen, ist es notwendig, mit geeigneten Ma nahmen die Effektivität und Effizienz stetig zu steigern. Eine Ma nahme ist hierbei, die Abhängigkeit des Faktors Mensch bei Auftreten eines Fehlers am Prüfstand zu reduzieren. Um diesem Ziel einen gro en Schritt näher zu kommen, wurde vorliegend eine KI-basierte Methodik entwickelt, mit deren Hilfe es möglich ist, die fehlerverursachende Komponente und den zugehörigen Fehlerzeitpunkt trotz der Wechselwirkung aufgrund der mechanischen Kopplung des Systems zu detektieren.
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