Applied digital signal processing systems for vortex flowmeter with digital signal processing.

Area of Science:

• Mechanical Engineering
• Signal Processing
• Instrumentation

Background:

• Vortex flow meters are susceptible to low-frequency disturbances from pipe vibrations, affecting accuracy and turndown ratio.
• Existing signal processing methods may not adequately address these vibrational interferences.
• Improving the robustness and performance of vortex flow meters is crucial for industrial applications.

Purpose of the Study:

• To develop and validate digital signal processing (DSP) systems for vortex flow meters.
• To reduce the impact of low-frequency pipe vibrations on sensor signals.
• To enhance the turndown ratio and overall accuracy of vortex flow measurement.

Main Methods:

• Combining spectral analysis with digital filters to process vortex sensor signals.
• Implementing two DSP systems: an integrative and a separated system, using a digital signal processing chip.
• Incorporating a limiting amplifier to handle large amplitude variations in sensor signals.
• Employing techniques to improve output pulse accuracy, response time, and signal stability.

Main Results:

• The developed DSP systems effectively reduce low-frequency disturbances from pipe vibrations.
• Significant improvements in the turndown ratio and accuracy of the vortex flow meter were observed.
• Experimental validation confirmed the effectiveness of both the integrative and separated DSP system designs.
• Enhanced output pulse characteristics and reduced signal fluctuation were achieved.

Conclusions:

• Digital signal processing offers a robust solution for mitigating vibrational noise in vortex flow meters.
• The developed DSP systems enhance the reliability and performance of vortex flow measurement technology.
• These advancements enable more accurate and stable flow measurements in challenging industrial environments.