A Novel Pipeline Leak Detection Technique Based on Acoustic Emission Features and Two-Sample Kolmogorov–Smirnov Test

Pipeline leakage remains a challenge in various industries. Acoustic emission (AE) technology has recently shown great potential for leak diagnosis. Many AE features, such as root mean square (RMS), peak value, standard deviation, mean value, and entropy, have been suggested to detect leaks. However...

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Detalles Bibliográficos
Autores principales: Rai, Akhand, Ahmad, Zahoor, Hasan, Md Junayed, 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/PMC8708146/
https://www.ncbi.nlm.nih.gov/pubmed/34960342
http://dx.doi.org/10.3390/s21248247

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8708146/
https://www.ncbi.nlm.nih.gov/pubmed/34960342
http://dx.doi.org/10.3390/s21248247

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