Digital Process Monitoring of Vibrating Screens

Publikationen: KonferenzbeitragPosterForschung

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Digital Process Monitoring of Vibrating Screens. / Krukenfellner, Philip.
2024. Postersitzung präsentiert bei Science 4 Technology @MUL, Leoben, Österreich.

Publikationen: KonferenzbeitragPosterForschung

Vancouver

Krukenfellner P. Digital Process Monitoring of Vibrating Screens. 2024. Postersitzung präsentiert bei Science 4 Technology @MUL, Leoben, Österreich.

Author

Krukenfellner, Philip. / Digital Process Monitoring of Vibrating Screens. Postersitzung präsentiert bei Science 4 Technology @MUL, Leoben, Österreich.

Bibtex - Download

@conference{5f25bfbdaee34577bdbe4cef4cd278b6,
title = "Digital Process Monitoring of Vibrating Screens",
abstract = "The Chair of Mineral Processing at Montanuniversit{\"a}t Leoben, in collaboration with IFE Aufbereitungstechnik GmbH, is conducting a multi-year digitalization research project. The project's goal is to implement innovative sensor systems and apply Machine Learning Methods for the continuous monitoring of processing equipment in the mineral and waste processing industries, with a primary focus on vibrating screens.",
keywords = "Schwingsiebe, Zustands{\"u}berwachung, Schwingungsanalyse, Machine Learning, Vibrating Screens, Condition Monitoring, Vibration Analysis, Machine Learning",
author = "Philip Krukenfellner",
year = "2024",
month = jun,
day = "1",
language = "English",
note = "Science 4 Technology @MUL : Poster Exhibition 2024 ; Conference date: 23-05-2024 Through 31-05-2024",
url = "https://www.unileoben.ac.at/science-4-technology/information/",

}

RIS (suitable for import to EndNote) - Download

TY - CONF

T1 - Digital Process Monitoring of Vibrating Screens

AU - Krukenfellner, Philip

PY - 2024/6/1

Y1 - 2024/6/1

N2 - The Chair of Mineral Processing at Montanuniversität Leoben, in collaboration with IFE Aufbereitungstechnik GmbH, is conducting a multi-year digitalization research project. The project's goal is to implement innovative sensor systems and apply Machine Learning Methods for the continuous monitoring of processing equipment in the mineral and waste processing industries, with a primary focus on vibrating screens.

AB - The Chair of Mineral Processing at Montanuniversität Leoben, in collaboration with IFE Aufbereitungstechnik GmbH, is conducting a multi-year digitalization research project. The project's goal is to implement innovative sensor systems and apply Machine Learning Methods for the continuous monitoring of processing equipment in the mineral and waste processing industries, with a primary focus on vibrating screens.

KW - Schwingsiebe

KW - Zustandsüberwachung

KW - Schwingungsanalyse

KW - Machine Learning

KW - Vibrating Screens

KW - Condition Monitoring

KW - Vibration Analysis

KW - Machine Learning

M3 - Poster

T2 - Science 4 Technology @MUL

Y2 - 23 May 2024 through 31 May 2024

ER -