Application of hybrid machine learning based quality control in daily site management
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Proceedings of the ISRM 15th International Congress on Rock Mechanics and Rock Engineering & 72nd Geomechanics Colloquium : Challenges in Rock Mechanics and Rock Engineering. Salzburg, 2023. p. 569-574.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - Application of hybrid machine learning based quality control in daily site management
AU - Zöhrer, Alexander
AU - Winter, Vincent
AU - Terbuch, Anika
AU - O'Leary, Paul
AU - Khalilimotlaghkasmaei, Negin
PY - 2023/10/9
Y1 - 2023/10/9
N2 - This paper presents a system that combines KPI with autoencoders to implement a hybrid machine learning system. The goal here is to investigate workflows which permit the site manager to use the hybrid machine learning systems as a decision support tool. The workflows are explained by means of case studies, demonstrating the application of the hybrid system to detect both element as well as site related quality issues. In addition to that, the detection of anomalies regarding execution efficiency assist the project manager to optimize the sequence of work on site.
AB - This paper presents a system that combines KPI with autoencoders to implement a hybrid machine learning system. The goal here is to investigate workflows which permit the site manager to use the hybrid machine learning systems as a decision support tool. The workflows are explained by means of case studies, demonstrating the application of the hybrid system to detect both element as well as site related quality issues. In addition to that, the detection of anomalies regarding execution efficiency assist the project manager to optimize the sequence of work on site.
M3 - Conference contribution
SP - 569
EP - 574
BT - Proceedings of the ISRM 15th International Congress on Rock Mechanics and Rock Engineering & 72nd Geomechanics Colloquium
CY - Salzburg
ER -
