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Optimizing damping ratio in capacitive sensors to enhance accuracy and reduce noise

Author

Listed:
  • Zine Ghemari

    (University of M’sila)

  • Mabrouk Defdaf

    (University of M’sila)

  • Salah Belkhiri

    (University of M’sila)

  • Mohamed Razi Morakchi

    (Université de M’sila)

  • Nacer Belhout

    (Université de Annaba)

Abstract

This paper presents a novel approach to optimizing damping in capacitive sensors to improve their accuracy, response time, and noise reduction. Both simulation and experimental methods were employed to evaluate the effectiveness of the proposed optimization techniques. The sensor’s accuracy was assessed by comparing the final displacement values from both the simulation and experimental data, yielding minimal discrepancies. The response time, defined as the time required for the sensor to stabilize after oscillations, was significantly improved by adjusting damping rates. Additionally, signal noise was analyzed by quantifying the error between the simulated and experimental data, revealing small, random deviations primarily caused by external disturbances. The results demonstrate that optimizing the damping characteristics enhances sensor performance, making the system more responsive, accurate, and reliable for high-precision applications. This study confirms the potential of simulation models for predictive analysis and optimization, offering insights into improving capacitive sensor designs for diverse industrial and technological applications.

Suggested Citation

  • Zine Ghemari & Mabrouk Defdaf & Salah Belkhiri & Mohamed Razi Morakchi & Nacer Belhout, 2025. "Optimizing damping ratio in capacitive sensors to enhance accuracy and reduce noise," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 16(1), pages 113-127, January.
    • Handle: RePEc:spr:ijsaem:v:16:y:2025:i:1:d:10.1007_s13198-024-02661-9
    DOI: 10.1007/s13198-024-02661-9
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