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Related Concept Videos

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Related Experiment Video

Updated: Jan 23, 2026

Measurement of Dynamic Force Acted on Water Strider Leg Jumping Upward by the PVDF Film Sensor
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Digital Approach to Rotational Speed Measurement Using an Electrostatic Sensor.

Lin Li1, Hongli Hu2, Yong Qin3

  • 1State Key Laboratory of Power Equipment and Electrical Insulation, Xi'an Jiaotong University, Xi'an 710049, China. ll123xjtu.edu.cn@stu.xjtu.edu.cn.

Sensors (Basel, Switzerland)
|June 7, 2019
PubMed
Summary

This study introduces a digital method using electrostatic sensors for accurate rotational speed measurement in harsh industrial environments. The novel approach offers superior precision and linearity compared to traditional auto-correlation techniques.

Keywords:
correlation algorithmdigital approachelectrostatic sensorrotational speed

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Area of Science:

  • Engineering
  • Sensor Technology
  • Industrial Monitoring

Background:

  • Rotational speed is critical for equipment condition monitoring and fault diagnosis in industrial settings.
  • Harsh conditions like high temperatures and heavy dust pose challenges for traditional rotational speed measurement methods.
  • Existing methods may lack the accuracy and robustness required for demanding industrial environments.

Purpose of the Study:

  • To propose and validate a digital approach for measuring rotational speed using an electrostatic sensor.
  • To address the limitations of existing methods in high-temperature, dusty industrial environments.
  • To compare the performance of the proposed digital method against the auto-correlation method.

Main Methods:

  • A strip of charged material is attached to the rotating shaft.
  • An electrostatic sensor detects fluctuations from the charged strip, generating a signal.
  • Signal conversion creates a square wave proportional to rotational speed.
  • The M/T and T methods are used to calculate rotational speed from the square wave.

Main Results:

  • The digital approach achieved relative errors within ±4‰, outperforming the auto-correlation method (up to 3.2%).
  • The linearity of the digital approach, combined with M/T or T methods, was superior to the auto-correlation method.
  • The digital method demonstrated better performance in terms of standard deviations and response speed.

Conclusions:

  • The proposed digital method using electrostatic sensors is highly accurate and reliable for rotational speed measurement in challenging industrial conditions.
  • This approach offers significant advantages over traditional auto-correlation methods in terms of precision, linearity, and dynamic performance.
  • The electrostatic sensor-based digital method provides a robust solution for equipment condition monitoring and fault diagnosis in harsh environments.