凌嘉彤｜大连海事大学｜学者主页

2026

Probabilistic segmentation for pipeline defect detection from magnetic flux leakage measurements

Jiatong Ling, Lixin Tu, Zheng Liu

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XX

DOI

2025

LSDC-RC-RAPID: An Improved Probabilistic Reconstruction Approach for Pipeline Corrosion Detection With UGWT

Jiatong Ling, Rakiba Rayhana, Zheng Liu, Min Liao, Chunsheng Yang, Andreas Schnabel, R. Neubeck, Christian Wunderlich

IEEE Transactions on Instrumentation and Measurement

DOI

2025

Registration of Multimodal Pipeline In-Line Inspection Data Using Generative Adversarial Network-Based Translation

Jiatong Ling, Matthias Peussner, Xiang Peng, Kevin Siggers, Hongguang Yun, Zheng Liu

IEEE/ASME transactions on mechatronics

DOI

2024

Pipeline condition monitoring towards digital twin system: A case study

Teng Wang, Ke Feng, Jiatong Ling, Min Liao, Chunsheng Yang, Robert Neubeck, Zheng Liu

Journal Of Manufacturing Systems，Vol. 730

DOI

2024

Translation of MFL and UT data by using generative adversarial networks: A comparative study

Jiatong Ling, Xiang Peng, Matthias Peussner, Kevin Siggers, Zheng Liu

NDT & E International

DOI

2024

Towards next-generation NDE: predictive analysis of pipeline integrity using machine learning

Rakiba Rayhana, Jiatong Ling, Ling Bai, Zheng Liu, Min Liao, Chunsheng Yang, Andreas Schnabel, Sebastian Sonntag

Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring

DOI

2024

Matching of Corrosion Features in Multiset Pipeline In-Line Inspection Data Utilizing Relative Point Positions

Jiatong Ling, Zheng Liu

Volume 2A: Pipeline and Facilities Integrity

DOI

2024

Reconstruction of 3-D pipeline corrosion defect profile from MFL signals with deep learning approach

Jiatong Ling, Xiang Peng, Kevin Siggers, Matthias Peussner, Rakiba Rayhana, Zheng Liu

Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring

DOI

2024

Digital Twin for Industrial Asset Management: A Case Study for Pipeline Maintenance

Ling Bai, Rakiba Rayhana, Jiatong Ling, Teng Wang, Zheng Liu, Andreas Schnabel, Chunsheng Yang, Min Liao

Annual Conference of the IEEE Industrial Electronics Society

DOI

2022

A Data-Driven Based Method for Pipeline Additional Stress Prediction Subject to Landslide Geohazards

Meng Zhang, Jiatong Ling, Buyun Tang, Shaohua Dong, Laibin Zhang

Sustainability，Vol. 14, No. 19

DOI

2020

A modified method for the safety factor parameter: The use of big data to improve petroleum pipeline reliability assessment

Hewei Zhang, Shaohua Dong, Jiatong Ling, Laibin Zhang, Brenda Cheang

Reliability Engineering & System Safety，Vol. 198

DOI

凌嘉彤

精选作品

期刊论文

Probabilistic segmentation for pipeline defect detection from magnetic flux leakage measurements

LSDC-RC-RAPID: An Improved Probabilistic Reconstruction Approach for Pipeline Corrosion Detection With UGWT

Registration of Multimodal Pipeline In-Line Inspection Data Using Generative Adversarial Network-Based Translation

Pipeline condition monitoring towards digital twin system: A case study

Translation of MFL and UT data by using generative adversarial networks: A comparative study

Towards next-generation NDE: predictive analysis of pipeline integrity using machine learning

Matching of Corrosion Features in Multiset Pipeline In-Line Inspection Data Utilizing Relative Point Positions

Reconstruction of 3-D pipeline corrosion defect profile from MFL signals with deep learning approach

Digital Twin for Industrial Asset Management: A Case Study for Pipeline Maintenance

A Data-Driven Based Method for Pipeline Additional Stress Prediction Subject to Landslide Geohazards

A modified method for the safety factor parameter: The use of big data to improve petroleum pipeline reliability assessment