Development of a modular rotating machinery test bed for predictive maintenance and balancing optimization

Résumé

Rotor imbalance and misalignment are among the most common sources of mechanical vibrations, often leading to unplanned downtime and costly failures in industrial machinery. This study presents the design, development, and experimental validation of a modular rotating machinery test bed that enables controlled fault introduction and high-fidelity vibration monitoring. By integrating precise mechanical design with Fast Fourier Transform (FFT) analysis, the platform reproduces representative industrial fault signatures. Experimental results demonstrate the system's capability to isolate 1X and 2X vibration components, while corrective actions reduce vibration levels to acceptable ranges referenced to ISO 10816. The test bed provides an experimental foundation for condition monitoring, predictive maintenance research, fault diagnostics, and future Industry 4.0 applications, including AI-driven monitoring and digital twin frameworks.

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