Leak State Detection and Size Identification for Fluid Pipelines with a Novel Acoustic Emission Intensity Index and Random Forest

In this paper, an approach to perform leak state detection and size identification for industrial fluid pipelines with an acoustic emission (AE) activity intensity index curve (AIIC), using b-value and a random forest (RF), is proposed. Initially, the b-value was calculated from pre-processed AE dat...

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Detalles Bibliográficos
Autores principales: Nguyen, Tuan-Khai, Ahmad, 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/PMC10674913/
https://www.ncbi.nlm.nih.gov/pubmed/38005477
http://dx.doi.org/10.3390/s23229087

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10674913/
https://www.ncbi.nlm.nih.gov/pubmed/38005477
http://dx.doi.org/10.3390/s23229087

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