Work

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

Year: 2025

Type: conference-paper

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.

DOI: 10.2172/2560481

Authors: Sandeep Bukka, Nageswara Lalam, Pengdi Zhang, Khurram Naeem, Ruishu Wright, Paul Ohodnicki

Institutions: National Energy Technology Laboratory, University of Pittsburgh

Language: English

Topic: Ultrasonics and Acoustic Wave Propagation

Subfield: Mechanics of Materials

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funders: U.S. Department of Energy, Office of Fossil Energy, National Energy Technology Laboratory, Office of Fossil Energy and Carbon Management

OpenAlex ID: W4409712535

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