TY - JOUR
T1 - Computer Vision for Condition Monitoring of Cylinder Liners in Large Engines
AU - Laubichler, Christian
AU - Kiesling, Constantin
AU - Angermann, Christoph
AU - Jónsson, Steinbjörn
PY - 2022/11/11
Y1 - 2022/11/11
N2 - 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
AB - 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
U2 - 10.1007/s38313-022-1404-5
DO - 10.1007/s38313-022-1404-5
M3 - Article
SN - 2192-9114
VL - 83
SP - 48
EP - 51
JO - MTZ Worldwide
JF - MTZ Worldwide
IS - 12
ER -