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Real-Time Leak Detection for a Gas Pipeline Using a k-NN Classifier and Hybrid AE Features
This paper introduces a technique using a k-nearest neighbor (k-NN) classifier and hybrid features extracted from acoustic emission (AE) signals for detecting leakages in a gas pipeline. The whole algorithm is embedded in a microcontroller unit (MCU) to detect leaks in real-time. The embedded system...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7826581/ https://www.ncbi.nlm.nih.gov/pubmed/33430370 http://dx.doi.org/10.3390/s21020367 |