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...

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Detalles Bibliográficos
Autores principales: Quy, Thang Bui, Kim, Jong-Myon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7826581/
https://www.ncbi.nlm.nih.gov/pubmed/33430370
http://dx.doi.org/10.3390/s21020367

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