Non-destructive Techniques for Classifying Aircraft Coating Degradation
AIR FORCE INSTITUTE OF TECHNOLOGY WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING AND MANAGEMENT/DEPT OF ENGINEERING PHYSICS
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In this research non-destructive techniques were examined as possible methods of determining aircraft coating degradation. Single Value DecompositionSVD-Linear Discriminant AnalysisLDA algorithms were applied to measured spectra. When applied to infrared emittance spectra only 52 classification accuracy was achieved. When applied to Raman spectroscopy a higher classification accuracy of 70.4 is attained when using the same SVD-LDA algorithm. However the best performing measurement was using infrared reflectance classification accuracies were 100, 99.83 and 94.4 when using the Bomem FTS, DRIFTS and Telops respectively for one of the sample sets. For DRIFTS data a more accurate fingerprint region was identified 865.6 - 1238.7 cm -1 decreasing classification error by 50. Feature selection was applied to determine filter locations for multi-spectral measurements. Simulating the optimal and commercially available filters accuracies of 95 and 94 were achieved using 5 filters. Infrared reflectance produces high classification accuracy when using the DRIFTS, Bomem FTS, Telops and a multi-spectral imager.
- Coatings, Colorants and Finishes
- Statistics and Probability
- Test Facilities, Equipment and Methods