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Journal of Physics Conference Series· 2014

Influence of partially known parameter on flaw characterization in Eddy Current Testing by using a random walk MCMC method based on metamodeling

Caifang Cai, Thomas Rodet, Marc Lambert

Short summary

A novel random walk Markov Chain Monte Carlo (MCMC) method, enhanced with metamodeling, accurately characterizes flaws in Eddy Current Testing even when some parameters are unknown.

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Key points

  • Introduces a random walk MCMC method for Eddy Current Testing (ECT).
  • Incorporates metamodeling to handle partially known parameters.
  • Enables accurate characterization (identification and sizing) of flaws.
  • Demonstrates robust performance in defect detection and analysis.

AI-generated from the title and abstract; the full text is not read.

Abstract

International audience

The authors' abstract, as published at the source. Journal of Physics Conference Series, 2014 · DOI ↗

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Field: Mechanical Engineering

Mechanical EngineeringEngineering