Performance Assessment of Pneumatic-Driven Automatic Valves to Improve Pipeline Fault Detection Procedure by Fast
Francesco Castellani1, Caterina Capponi2, Bruno Brunone2
1Department of Engineering, The University of Perugia, 06125 Perugia, Italy.
Sensors (Basel, Switzerland)
|March 28, 2024
Summary
Generating controlled transients is vital for fault detection in transmission networks. This study compares butterfly and ball valves, finding pneumatic ball valves offer superior performance for sharp, repeatable pressure waves.
Area of Science:
- Fluid Dynamics
- Hydraulic Engineering
- Signal Processing
Background:
- Fast transients are essential for fault detection in long transmission networks.
- Optimizing transient generation requires specific valve performance characteristics for maximum information extraction from pressure signals.
- Previous methods often lack the necessary speed, repeatability, and sharpness in pressure wave generation.
Purpose of the Study:
- To experimentally investigate and compare the transient dynamics of butterfly and pneumatic ball valves.
- To evaluate valve performance in generating sharp, repeatable pressure waves for fault detection applications.
- To analyze valve closing dynamics and pressure wave characteristics in a pressurized pipe system.
Main Methods:
- Experimental transient tests conducted at the Water Engineering Laboratory (WEL).
- Utilized a butterfly valve and a pneumatic ball valve to generate pressure waves in a copper pipe.
- Monitored valve displacement with a camera and measured pressure using a transducer; analyzed experimental data.
Main Results:
- Characterized the performance of both valve types in generating transient pressure waves.
- Compared valve closing dynamics, pressure wave sharpness, and time history stability.
- Demonstrated the effectiveness of the proposed approach for characterizing transient dynamics.
Conclusions:
- Pneumatic ball valves show potential for generating sharper and more stable pressure waves compared to butterfly valves.
- The experimental methodology provides an effective means to characterize transient dynamics for fault detection.
- Optimized transient generation is crucial for enhancing fault detection capabilities in transmission networks.
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