Computer Vision for Condition Monitoring of Cylinder Liners in Large Engines

Christian Laubichler, Constantin Kiesling, Christoph Angermann, Steinbjörn Jónsson

Publikation: Beitrag in einer FachzeitschriftArtikel

Abstract

Condition monitoring of cylinder liners makes it possible to avoid out-of-spec function and downtime of large engines. However, optical evaluation of the actual wear condition of the liner is currently a complex, time-consuming, destructive and costly process. The Large Engines Competence Center (LEC), the University of Innsbruck and Innio Jenbacher have therefore set themselves the goal of simplifying the evaluation of wear by applying computer vision methods
Originalspracheenglisch
Seiten (von - bis)48 - 51
Seitenumfang4
FachzeitschriftMTZ Worldwide
Jahrgang83
Ausgabenummer12
DOIs
PublikationsstatusVeröffentlicht - 11 Nov. 2022

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