Quasi-Distributed Fiber Sensor-Based Approach for Pipeline Health Monitoring: Generating and Analyzing Physics-Based Simulation Datasets for Classification

This study presents a framework for detecting mechanical damage in pipelines, focusing on generating simulated data and sampling to emulate distributed acoustic sensing (DAS) system responses. The workflow transforms simulated ultrasonic guided wave (UGW) responses into DAS or quasi-DAS system respo...

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Detalles Bibliográficos
Autores principales: Zhang, Pengdi, Venketeswaran, Abhishek, Wright, Ruishu F., Lalam, Nageswara, Sarcinelli, Enrico, Ohodnicki, Paul R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10300826/
https://www.ncbi.nlm.nih.gov/pubmed/37420576
http://dx.doi.org/10.3390/s23125410

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10300826/
https://www.ncbi.nlm.nih.gov/pubmed/37420576
http://dx.doi.org/10.3390/s23125410

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