Application of hybrid machine learning based quality control in daily site management

Alexander Zöhrer; Vincent Winter; Anika Terbuch; Paul O'Leary; Negin Khalilimotlaghkasmaei

Application of hybrid machine learning based quality control in daily site management

Alexander Zöhrer, Vincent Winter, Anika Terbuch, Paul O'Leary, Negin Khalilimotlaghkasmaei

Lehrstuhl für Automation und Messtechnik (530)

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in Konferenzband

Abstract

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.

Originalsprache	Englisch
Titel	Proceedings of the ISRM 15th International Congress on Rock Mechanics and Rock Engineering & 72nd Geomechanics Colloquium
Untertitel	Challenges in Rock Mechanics and Rock Engineering
Erscheinungsort	Salzburg
Seiten	569-574
Seitenumfang	6
ISBN (elektronisch)	978-3-9503898-3-8
Publikationsstatus	Veröffentlicht - 9 Okt. 2023

15th International ISRM Congress 2023 & 72nd Geomechanics Colloquium
Anika Terbuch (Teilnehmer/-in)
11 Okt. 2023 → 13 Okt. 2023
Aktivität: Teilnahme an oder Organisation einer Veranstaltung › Konferenzteilnahme

Dieses zitieren

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abstract = "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.",

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Application of hybrid machine learning based quality control in daily site management. / Zöhrer, Alexander; Winter, Vincent; Terbuch, Anika et al.
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. S. 569-574.

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in Konferenzband

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 -

Application of hybrid machine learning based quality control in daily site management

Abstract

Aktivitäten

15th International ISRM Congress 2023 & 72nd Geomechanics Colloquium

Dieses zitieren