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- Vol. 5 Issue 2
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Data-Driven Inline Leak Detection for Pipelines Using Flow- Induced Acoustics Analysis
Authors
1 Assistant Professor, Electronics and Instrumentation Engineering, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India. 2345 Electronics and Instrumentation Engineering, Kumaraguru College of Technology, Coimbatore, Tamilnadu India.
Article Information
- Published In
- Volume 5, Issue 2 (2024)
- Published Online
- March-April 2024
- Pages
- 200-207
- Article Type
- Research Article
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Abstract
View PDFAbstract: Fluid and water distribution networks are essential to the modern world. However, these systems are prone to leaks, which can lead to significant water loss, damage to infrastructure, and environmental pollution. The proposed solution makes use of Acoustic Emission sensors placed in discrete locations in the pipeline which measures the sound in the pipeline caused by the flow of fluids. Computation models are used to deduce the location from the input provided by the sensors. In case of leak, the leak is localized through cross correlation and TDOA methods. This solution is particularly developed for water distribution pipelines.
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