Uncertainty Analysis and Quantification for Nondestructive Evaluation

Zi Li; Yiming Deng

doi:10.32548/2025.me-04541

August 1, 2025Materials Evaluation

Uncertainty Analysis and Quantification for Nondestructive Evaluation

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Key Points

Nondestructive evaluation can improve its reliability and effectiveness with uncertainty analysis and quantification, making inspections safer.
The analysis shows that incorporating AI and real-time data enhances predictive maintenance in nondestructive evaluation, indicating a shift toward smarter methods.
Utilizing digital twins and automation, uncertainty quantification can transform nondestructive evaluation practices for better results.
This approach highlights the potential for more informed inspections and the ongoing improvements in evaluation technology.

Implication

Uncertainty analysis improves reliability and predictive maintenance in nondestructive evaluation, suggesting better inspections.

Abstract

Uncertainty analysis and quantification (UA&UQ) are redefining NDE—enhancing reliability, enabling predictive maintenance, and advancing automation through AI, digital twins, and real-time data for smarter, safer, and more informed inspections.

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Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/68a368920a429f797332e28b https://doi.org/10.32548/2025.me-04541

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Uncertainty Analysis and Quantification for Nondestructive Evaluation

Key Points

Implication

Abstract

Discussion

Cite This Study

Uncertainty Analysis and Quantification for Nondestructive Evaluation

Key Points

Implication

Abstract

Discussion

Cite This Study

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