[HTML][HTML] Quasi-Distributed Fiber Sensor-Based Approach for Pipeline Health Monitoring: Generating and Analyzing Physics-Based Simulation Datasets for …

P Zhang, A Venketeswaran, RF Wright, N Lalam… - Sensors, 2023 - mdpi.com
This study presents a framework for detecting mechanical damage in pipelines, focusing on
generating simulated data and sampling to emulate distributed acoustic sensing (DAS) …

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

P Zhang, A Venketeswaran, RF Wright, N Lalam… - Sensors, 2023 - osti.gov
This study presents a framework for detecting mechanical damage in pipelines, focusing on
generating simulated data and sampling to emulate distributed acoustic sensing (DAS) …

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

P Zhang, A Venketeswaran, R Wright… - Sensors (Basel …, 2023 - europepmc.org
This study presents a framework for detecting mechanical damage in pipelines, focusing on
generating simulated data and sampling to emulate distributed acoustic sensing (DAS) …

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

P Zhang, A Venketeswaran, RF Wright, N Lalam… - Sensors, 2023 - search.proquest.com
This study presents a framework for detecting mechanical damage in pipelines, focusing on
generating simulated data and sampling to emulate distributed acoustic sensing (DAS) …

[HTML][HTML] Quasi-Distributed Fiber Sensor-Based Approach for Pipeline Health Monitoring: Generating and Analyzing Physics-Based Simulation Datasets for …

P Zhang, A Venketeswaran, RF Wright… - Sensors (Basel …, 2023 - ncbi.nlm.nih.gov
This study presents a framework for detecting mechanical damage in pipelines, focusing on
generating simulated data and sampling to emulate distributed acoustic sensing (DAS) …

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

P Zhang, A Venketeswaran, RF Wright, N Lalam… - Sensors, 2023 - go.gale.com
This study presents a framework for detecting mechanical damage in pipelines, focusing on
generating simulated data and sampling to emulate distributed acoustic sensing (DAS) …

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

P Zhang, A Venketeswaran… - Sensors (Basel …, 2023 - pubmed.ncbi.nlm.nih.gov
This study presents a framework for detecting mechanical damage in pipelines, focusing on
generating simulated data and sampling to emulate distributed acoustic sensing (DAS) …

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

P Zhang, A Venketeswaran, RF Wright, N Lalam… - Sensors, 2023 - ui.adsabs.harvard.edu
This study presents a framework for detecting mechanical damage in pipelines, focusing on
generating simulated data and sampling to emulate distributed acoustic sensing (DAS) …

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

P Zhang, A Venketeswaran, RF Wright… - Sensors …, 2023 - search.ebscohost.com
This study presents a framework for detecting mechanical damage in pipelines, focusing on
generating simulated data and sampling to emulate distributed acoustic sensing (DAS) …

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

P Zhang, A Venketeswaran, RF Wright… - Sensors (Basel …, 2023 - europepmc.org
This study presents a framework for detecting mechanical damage in pipelines, focusing on
generating simulated data and sampling to emulate distributed acoustic sensing (DAS) …