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<p>Vibration monitoring is essential for ensuring the safety and maintenance of industrial structures and machinery, especially in the presence of electromagnetic interference and harsh environments occurring in densely industrialized areas. This study proposes a non-contact multipoint vibration monitoring method that utilizes PDoA with dual radio frequency (RF) antennas and software-defined radio (SDR). The system was developed to precisely capture and calculate the phase shift caused by structural vibration. This study was validated through simulation and experimental setups. The experimental setup includes controlled vibration shakers and multipoint sensing scenarios. The proposed method resulted in high accuracy and robustness, achieving up to a 75% reduction in Root Mean Square Error (RMSE) compared to conventional micro-electromechanical system (MEMS) accelerometers under noisy conditions. In addition, phase stability is maintained through precise RF design and synchronization with a GPS-disciplined oscillator (GPSDO). The flexibility and scalability of SDR, combined with the proposed method’s excellent noise resistance, make the proposed system suitable for advanced structural health monitoring and machinery diagnostics in challenging environments.</p>

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RF Interferometric Vibration Monitoring via Phase Difference of Arrival (PDoA) Using SDR-Based Simulation and Experimentation

  • 期刊论文

  • 发表日期：

    2025年10月15日

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  • Fitriana Nur Hasanah Aji Pramesti,
  • Rustamaji,
  • Sri Kliwati,
  • Wahyu Widada,
  • Mahfudz Al Huda

摘要

Vibration monitoring is essential for ensuring the safety and maintenance of industrial structures and machinery, especially in the presence of electromagnetic interference and harsh environments occurring in densely industrialized areas. This study proposes a non-contact multipoint vibration monitoring method that utilizes PDoA with dual radio frequency (RF) antennas and software-defined radio (SDR). The system was developed to precisely capture and calculate the phase shift caused by structural vibration. This study was validated through simulation and experimental setups. The experimental setup includes controlled vibration shakers and multipoint sensing scenarios. The proposed method resulted in high accuracy and robustness, achieving up to a 75% reduction in Root Mean Square Error (RMSE) compared to conventional micro-electromechanical system (MEMS) accelerometers under noisy conditions. In addition, phase stability is maintained through precise RF design and synchronization with a GPS-disciplined oscillator (GPSDO). The flexibility and scalability of SDR, combined with the proposed method’s excellent noise resistance, make the proposed system suitable for advanced structural health monitoring and machinery diagnostics in challenging environments.