Pipeline Leakage Detection Using Acoustic Emission and Machine Learning Algorithms

Pipelines play a significant role in liquid and gas resource distribution. Pipeline leaks, however, result in severe consequences, such as wasted resources, risks to community health, distribution downtime, and economic loss. An efficient autonomous leakage detection system is clearly required. The...

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Detalles Bibliográficos
Autores principales: Ullah, Niamat, Ahmed, Zahoor, Kim, Jong-Myon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10057666/
https://www.ncbi.nlm.nih.gov/pubmed/36991937
http://dx.doi.org/10.3390/s23063226

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10057666/
https://www.ncbi.nlm.nih.gov/pubmed/36991937
http://dx.doi.org/10.3390/s23063226

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