Fusion of Microwave and Eddy Current Data for a Multi-Modal Approach in Evaluating Corrosion Under Paint and in Lap Joints (Preprint)

Abstract

Critical aircraft structures are susceptible to hidden corrosion. Find-it and fix-it approaches are inefficient as it relates to managing the problems associated with corrosion. More comprehensive corrosion information may be obtained using data fusion from several detection and evaluation methods. To this end, microwave, conventional and pulsed eddy current data from a multi-layer corroded panel, representing an aircraft lap joint, are fused and used as inputs to a structural analysis model to obtain a comprehensive snapshot of the corroded environment. This paper presents the data fusion algorithm and the structural analysis model along with a discussion of the results.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2006
Accession Number
ADA463597

Entities

People

  • A. Padwal
  • D. R. Palmer
  • Gary Steffes
  • James Blackshire
  • K. Gupta
  • M. O'keefe
  • M. T. Ghasr
  • N. Wood
  • R. J. Stanley
  • R. Zoughi
  • S. Kharkovsky

Tags

Communities of Interest

  • Air Platforms
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Algorithms
  • Anomaly Detection
  • Change Detection
  • Corrosion
  • Data Fusion
  • Detection
  • Detectors
  • Eddy Currents
  • Engineering
  • False Alarms
  • Fuzzy Logic
  • Materials
  • Structural Analysis
  • Test And Evaluation

Readers

  • Distributed Systems and Data Platform Development
  • Sensor Fusion and Tracking Systems.
  • Structural Health Monitoring of Composite Structures.