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Document Type:Latin Dissertation
Language of Document:English
Record Number:53709
Doc. No:TL23663
Call number:‭1473351‬
Main Entry:Rohit Parvataneni
Title & Author:Principal component thermography for steady thermal perturbation scenariosRohit Parvataneni
College:Clemson University
Date:2009
Degree:M.S.
student score:2009
Page No:85
Abstract:The work focuses on the qualitative enhancement of Thermographic Inspection data using Principal Component Analysis technique. A new processing tool named Economical Singular Value Decomposition (SVD) is proposed for analyzing the infrared image sequences acquired from the test specimen. Experiments are carried out on test sample using thermal excitation modalities such as flash, halogen and induction to create temperature variations. The infrared (IR) image sequence containing the information about the sample is captured using IR cameras. The acquired IR image sequences are processed using the proposed Economical SVD which projects the matrix of raw pixel values of image sequence into a set of orthogonal components to extract features and reduce data redundancy. The results from processing revealed that Economical Singular Value Decomposition can be used with various thermal excitation modalities while enhancing the contrast between the defect and non defect areas. The proposed processing routine is benchmarked against the available standard techniques such as the Thermal Signal Reconstruction for one single application and specific experimental conditions. Keywords: Thermographic Inspection, Principal Component Analysis, Economical Singular Value Decomposition, Orthogonal Components, Thermal Signal Reconstruction.
Subject:Applied sciences; Mechanical engineering; 0548:Mechanical engineering
Added Entry:M. Omar
Added Entry:Clemson University