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Bihua Ou

Yunnan Expressway Development Co

SCHOLARLY PAPERS

4

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239

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0

Scholarly Papers (4)

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1.

Infrared Imaging Detection for Gas Leakage Based on Residual-Enhanced Nnunetv2: Taking Methane Leakage from a Natural Gas Pipeline as a Case Study

Number of pages: 33 Posted: 02 May 2025
Lei Xu, Xiaoyu Ji, Jiale Xiao, Qi Gao, Ling Tang, Bihua Ou and Changyun Li
China University of Petroleum (Beijing), China University of Petroleum (Beijing), China University of Petroleum (Beijing), China University of Petroleum (Beijing), China University of Petroleum (Beijing), Yunnan Expressway Development Co and China University of Petroleum (Beijing)
Downloads 74 (875,328)

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Gas leak detection, Optical gas imaging, nnUNetv2, Semantic segmentation, Natural gas

2.

A Semantic Segmentation and Fluent Simulation-Based Quantitative Detection Method for Natural Gas Pipeline Leakage

Number of pages: 34 Posted: 11 Apr 2025
Xiaoyu Ji, Lei Xu, Mingyue Wang, Bihua Ou, Qi Gao, Lin Jiang, Guogang Gao, Changyun Li, Yong Liao and Zhenyu Miao
China University of Petroleum (Beijing), China University of Petroleum (Beijing), China University of Petroleum (Beijing), Yunnan Expressway Development Co, China University of Petroleum (Beijing), China University of Petroleum (Beijing), China University of Petroleum (Beijing), China University of Petroleum (Beijing), Yunnan Expressway Development Co and Yunnan Expressway Development Co
Downloads 64 (933,592)

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Quantitative detection, Semantic segmentation, Fluent simulation, Natural gas pipeline leakage, Regression prediction

3.

Lightweight Instance Segmentation for Integrated Measurement and Diagnosis of Natural Gas Pipeline Leaks

Number of pages: 35 Posted: 12 Apr 2025
Jiale Xiao, Xiaoyu Ji, Yibo Zhang, Lei Xu, Changyun Li and Bihua Ou
China University of Petroleum (Beijing), China University of Petroleum (Beijing), affiliation not provided to SSRN, China University of Petroleum (Beijing), China University of Petroleum (Beijing) and Yunnan Expressway Development Co
Downloads 52 (1,041,696)

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Natural gas pipeline, Pipeline leakage, Intelligent diagnosis, Instance segmentation, Deep learning

4.

A Deep Learning and Cfd Simulation-Based Quantitative Detection Method for Methane Pipeline Leakage

Number of pages: 51 Posted: 14 Mar 2025
Xiaoyu Ji, Lei Xu, Mingyue Wang, Bihua Ou, Qi Gao, Jiale Xiao, Guogang Gao, Changyun Li, Yong Liao and Zhenyu Miao
China University of Petroleum (Beijing), China University of Petroleum (Beijing), China University of Petroleum (Beijing), Yunnan Expressway Development Co, China University of Petroleum (Beijing), China University of Petroleum (Beijing), China University of Petroleum (Beijing), China University of Petroleum (Beijing), Yunnan Expressway Development Co and Yunnan Expressway Development Co
Downloads 49 (1,074,648)

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quantitative detection, semantic segmentation, computational fluid dynamics (CFD), methane leakage, regression prediction