Work

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

Year: 2025

Type: article

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.

Source: Tehnički glasnik

DOI: 10.31803/tg-20250407201009

Authors: Davor Kolar, Dragutin Lisjak, Mihael Gudlin, Karlo Miskovic

Institutions: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture in Zagreb

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4410165228

FWCI:

Cites: 9

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Related to: 10