Fusion of Experiments and Simulations for Real-Time Identification of Pipeline Defects

In this study, we explored fusion of experiments and simulations for real time identification of pipeline defects across physical and non-physical domains. The challenges associated to data processing were addressed and a combined classification models was presented via CNN models. In addition, regression model based on XGBOOST is built to determine the defect location and defect dimension from data-driven features of guided wave signals captured by SMS fiber optic sensor.

Authors

Institutions

Publication Details

Published
2025-04-16
DOI
https://doi.org/10.2172/2560481
Primary Topic
Water Systems and Optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fusion of Experiments and Simulations for Real-Time Identification of Pipeline Defects

Ruishu Wright, Pengdi Zhang, Khurram Naeem, Paul Richard Ohodnicki et al.
Water Systems and Optimization
article

Fusion of Experiments and Simulations for Real-Time Identification of Pipeline Defects

Ruishu Wright, Pengdi Zhang, Khurram Naeem, Paul Richard Ohodnicki, Sandeep Bukka, Nageswara R. Lalam
article en

Abstract

In this study, we explored fusion of experiments and simulations for real time identification of pipeline defects across physical and non-physical domains. The challenges associated to data processing were addressed and a combined classification models was presented via CNN models. In addition, regression model based on XGBOOST is built to determine the defect location and defect dimension from data-driven features of guided wave signals captured by SMS fiber optic sensor.

University of Pittsburgh (US), National Energy Technology Laboratory (US)
U.S. Department of Energy, Office of Fossil Energy, National Energy Technology Laboratory, Office of Fossil Energy and Carbon Management
Openalex Percentile: Top 91%
Water Systems and Optimization
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Fusion of Experiments and Simulations for Real-Time Identification of Pipeline Defects — Ruishu Wright, Pengdi Zhang, et al. · (2025) | TGRS Research Map | TGRS