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Non-Destructive Resonance Testing Using Frequency and Time Domain Techniques

Abstract The objective of this thesis was to compare various approaches for classification of the `good' and `bad' parts via non-destructive resonance testing methods by collecting and analyzing experimental data in the frequency and time domains. A Laser Scanning Vibrometer was employed to measure vibrations samples in order to determine the spectral characteristics such as natural frequencies and amplitudes. Statistical pattern recognition tools such as Hilbert Huang, Fisher's Discriminant, and Neural Network were used to identify and classify the unknown samples whether they are defective or not. In this work, a Finite Element Analysis software packages (ANSYS 13.0 and NASTRAN NX8.0) was used to obtain estimates of resonance frequenci... (more)
Created Date 2013
Contributor Jameel, Osama (Author) / Redkar, Sangram (Advisor) / Arizona State University (Publisher)
Subject Engineering / Mechanical engineering
Type Masters Thesis
Extent 72 pages
Language English
Reuse Permissions All Rights Reserved
Note M.S.Tech Mechanical Engineering 2013
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis