Preliminary communication

https://doi.org/10.31803/tg-20250407201009

Extending a Prognostic Bearing Test Simulator with Smart Data Acquisition and Monitoring Capabilities

Davor Kolar orcid.org/0000-0002-5622-6434 ; Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lučića Street 5, 10002 Zagreb, Croatia *
Dragutin Lisjak ; Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lučića Street 5, 10002 Zagreb, Croatia
Mihael Gudlin ; Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lučića Street 5, 10002 Zagreb, Croatia
Karlo Miskovic ; Weidmann Izo-Prod d.o.o. Gornjostupnicka ulica 22B, 10225 Gornji Stupnik, Croatia

* Corresponding author.

Abstract

Predictive maintenance is essential for modern industrial systems, enabling early fault detection and efficient asset management. This paper presents an enhanced prognostic bearing test simulator that upgrades a laboratory platform for controlled accelerated degradation experiments. The system integrates a LabJack T7 Pro data acquisition unit with a web-based application, enabling automated data logging, structured storage, and remote visualization. These features reduce manual effort, improve data consistency, and enhance usability for real-time monitoring and experiment control. The developed platform supports diverse operating conditions and generates high-quality datasets for testing predictive maintenance strategies. The paper outlines the system architecture, data framework, and experimental validation, demonstrating its relevance for advancing diagnostics in rotating machinery.

Keywords

bearing degradation; data acquisition; predictive maintenance; smart diagnostics; web-applications

Hrčak ID:

330648

URI

https://hrcak.srce.hr/330648

Publication date:

1.6.2025.

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