Enhanced defect detection in NDE using registration aided heterogeneous data fusion

Subrata Mukherjee, Ciaron Hamilton, Xuhui Huang, Lalita Udpa, Yiming Deng

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

The degradation of systems in service, including pipelines, over time highlights the critical need for reliable and accurate defect detection to ensure safe operations. However, single modality-based Nondestructive Evaluation (NDE) data used in practical applications often suffers from noise contamination and errors caused by various factors like lift-off/standoff distances, probe drift, scanning speed, variation in data acquisition rates, and poor sensor sensitivity. The presence of agnostic noise types poses a challenge in extracting defect signals. To address these challenges, this paper presents an automated NDE theory-based data fusion framework aimed at enhancing the detection of surface and near-surface defects in magnetizable and conductive specimens. The Magnetic Flux Leakage (MFL) and Eddy Current (EC) based NDE sensing methods demonstrate the highly heterogeneous nature of noise distributions. Given the heterogeneity of the inspection methods, a screening rule is proposed to determine the conditions under which fusion would be beneficial. An important aspect of the proposed fusion method is registration, which ensures accurate alignment of multi-sensor image data. Two registration methods are proposed in this study as performing blind fusion without registration leads to erroneous results. The first registration method is translational, whereas the second method is registration based on linear optimal transport (OT) which proves to be effective in the boundary conditions. Finally, the registered source images from the EC and MFL modalities are fused using pixel-based fusion algorithms, including transform domain and spatial domain-based methods. Qualitative and quantitative assessments demonstrate that the registered fusion results exhibit higher accuracy and reliability compared to unregistered fused results and source images. Although the fusion method is applied to MFL and EC data in this paper, it is also suitable for other NDE modalities.

Original languageEnglish
Article number102964
JournalNDT and E International
Volume140
DOIs
StatePublished - Dec 2023
Externally publishedYes

Funding

The work was supported in part by the DOT/PHMSA CAAP program, Holistic Electromagnetic and Ultrasonic NDE Techniques for Plastic Pipeline Aging and Degradation Characterization with award number: 693JK320NF0001CAAP .

FundersFunder number
U.S. Department of Transportation
Pipeline and Hazardous Materials Safety Administration693JK320NF0001CAAP

    Keywords

    • Eddy current
    • Heterogeneous fusion
    • Magnetic flux leakage
    • Non destructive evaluation
    • Optimal transport
    • Pixel level fusion
    • Registration
    • Sparse representation

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