Detail publikačního výsledku

Predictive maintenance with digital model

KANTOR, M.; HUSÁK, M.

Originální název

Predictive maintenance with digital model

Anglický název

Predictive maintenance with digital model

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

This paper addresses the development of a Predictive Maintenance (PdM) detection algorithm applied to a digital model intended for PdM purposes of a heat exchanger station. The detection algorithm has been designed utilising data from a PLC measurement programme in conjunction with a digital model developed using MATLAB Simulink. Machine Learning (ML) techniques, specifically Support Vector Machines (SVM), were employed like two class classificator to identify anomalies. The SVM algorithm classified the measurement points into fault and normal operating states based on modelled temperature values, the Root Mean Square Error (RMSE) of temperatures within the primary circuit. The normal operating states is defined by digital model introduced in [4]. Anomaly state is simulated by serial clogging valve V3 in primary circuit.

Anglický abstrakt

This paper addresses the development of a Predictive Maintenance (PdM) detection algorithm applied to a digital model intended for PdM purposes of a heat exchanger station. The detection algorithm has been designed utilising data from a PLC measurement programme in conjunction with a digital model developed using MATLAB Simulink. Machine Learning (ML) techniques, specifically Support Vector Machines (SVM), were employed like two class classificator to identify anomalies. The SVM algorithm classified the measurement points into fault and normal operating states based on modelled temperature values, the Root Mean Square Error (RMSE) of temperatures within the primary circuit. The normal operating states is defined by digital model introduced in [4]. Anomaly state is simulated by serial clogging valve V3 in primary circuit.

Klíčová slova

Digital Model , Heat Exchanger , Machine Learning , Predictive Maintenance , Support Vector Machines

Klíčová slova v angličtině

Digital Model , Heat Exchanger , Machine Learning , Predictive Maintenance , Support Vector Machines

Autoři

KANTOR, M.; HUSÁK, M.

Rok RIV

2026

Vydáno

30.07.2025

Nakladatel

VUT

Místo

Brno

ISBN

978-80-214-6321-9

Kniha

Proceedings I of the 31st Conference STUDENT EEICT 2025: General papers

Strany od

87

Strany do

90

Strany počet

4

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2025_sbornik_1.pdf

BibTex

@inproceedings{BUT201546,
  author="Matěj {Kantor} and Michal {Husák}",
  title="Predictive maintenance with digital model",
  booktitle="Proceedings I of the 31st Conference STUDENT EEICT 2025: General papers",
  year="2025",
  pages="87--90",
  publisher="VUT",
  address="Brno",
  isbn="978-80-214-6321-9",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2025_sbornik_1.pdf"
}