Statistical Analysis of Eddy Current Data from Fastener Site Inspections (Preprint)

Abstract

Recent work on reliably detecting and characterizing cracks in multi-layer airframe structures has used modeling and simulation to extract features from raw eddy current data, and to assist in the evaluation of probability of detection (POD). This paper focuses on the statistical analysis of the data from these studies. Hit/miss, linear, and physics-inspired methods are employed to evaluate POD. The Box-Cox transformation is used as a remedy for violations of homoscedasticity. In addition, a bootstrapping method is introduced for confidence bound calculation on a 2nd order linear model. The objective of this work is to provide on insight how different models and assumptions impact POD evaluation.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2012
Accession Number
ADA564933

Entities

People

  • Inseok Park
  • Jeremy S. Knopp
  • John C. Aldrin
  • Ramana V. Grandhi

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Airframes
  • Data Analysis
  • Data Science
  • Detection
  • Eddy Currents
  • Fasteners
  • Feature Extraction
  • Image Processing
  • Information Science
  • Inspection
  • Probability
  • Square Roots
  • Statistical Analysis
  • Test And Evaluation
  • United States

Readers

  • Neural Network Machine Learning.
  • Regression Analysis.
  • Structural Health Monitoring of Composite Structures.