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Measurement of the Hand Transmitted Vibration of the Human Hand Arm System During Operation of a Hand Tractor

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Hybrid Vibration Sensor for Equipment Monitoring and Diagnostics.

Ivan V Bryakin¹, Igor V Bochkarev², Vadim R Khramshin³

¹Laboratory of Information and Measuring Systems, National Academy of Sciences of the Kyrgyz Republic, Bishkek 720010, Kyrgyzstan.

Sensors (Basel, Switzerland)

|June 19, 2024

Summary

This study introduces a novel hybrid vibration sensor for comprehensive equipment monitoring. The sensor effectively measures linear displacements, torsional oscillations, and inclination angles, enhancing diagnostic capabilities.

Keywords:

axial and torsional oscillations data signal fluxgate meter inclinometer monitored object’s inclination angle vibration-based diagnostics vortex sensor

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Area of Science:

Engineering
Materials Science
Physics

Background:

Vibration diagnostics are crucial for monitoring equipment and structures.
Current methods often require multiple sensors to capture axial, torsional, and inclination data.
A unified approach is needed for comprehensive condition monitoring.

Purpose of the Study:

To propose and analyze a hybrid vibration sensor capable of simultaneously measuring linear displacements, torsional oscillations, and inclination angles.
To demonstrate the sensor's theoretical operation and experimental validation.
To provide a comprehensive solution for vibration-based diagnostics.

Main Methods:

Development of a hybrid vibration sensor integrating three operating modes: linear displacement, torsional oscillation, and inclinometer.
Theoretical analysis of the sensor's functionality in each mode, including its operation as a fluxgate magnetometer in inclinometer mode.
Experimental validation of the sensor's performance in recording vibrational disturbances and inclination changes.

Main Results:

The proposed hybrid sensor successfully integrates linear displacement, torsional oscillation, and inclination angle measurement capabilities.
Theoretical analysis confirmed the sensor's operational principles, including its fluxgate magnetometer behavior.
Experimental studies validated the sensor's effectiveness in detecting various vibrational phenomena and inclination variations.

Conclusions:

The developed hybrid vibration sensor offers a comprehensive solution for condition monitoring of equipment and structures.
The sensor's ability to simultaneously measure multiple parameters simplifies diagnostic procedures.
This technology enhances the accuracy and efficiency of vibration-based diagnostics.