Prethodno priopćenje

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

* Dopisni autor.

Sažetak

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.

Ključne riječi

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

Hrčak ID:

330648

URI

https://hrcak.srce.hr/330648

Datum izdavanja:

1.6.2025.

Posjeta: 383 *