Dissertation/Thesis Abstract

Structural health monitoring system: Filtering techniques, damage localization, and system design
by Gaddam, Sathvik Reddy, M.S., California State University, Long Beach, 2016, 57; 10144825
Abstract (Summary)

Material testing is a major concern in many manufacturing and aeronautical industries, where structures require periodic inspection using equipment and manpower. Environmental Noise (EN) is the major concern when localizing the damage in real time. Inspecting underlying components involves destructive approaches. These factors can be alleviated using Non Destructive Testing (NDT) and a cost effective embedded sensor system.

This project involves NDT implementation of Structural Health Monitoring (SHM) with filtering techniques in real time. A spectrogram and a scalogram are used to analyze lamb response from an embedded array of Piezo Transducers (PZT). This project gives insights on implementing a real time SHM system with a sensor placement strategy and addresses two main problems, namely filtering and damage localization. An Adaptive Correlated Noise Filter (ACNF) removes EN from the lamb response of a structure. A damage map is developed using Short Time Fourier Transform (STFT), and Continuous Wavelet Analysis (CWA).

Indexing (document details)
Advisor: Shahian, Bahram
Commitee: Ary, Ary James, Mozumdar, Mohammad
School: California State University, Long Beach
Department: Electrical Engineering
School Location: United States -- California
Source: MAI 56/01M(E), Masters Abstracts International
Subjects: Aerospace engineering, Electrical engineering, Acoustics
Keywords: Adaptive noise filters, Damage maps, Lamb waves, Non destructive testing, Piezo transdusers, Real time damage localization, Spectrogram and scalograms
Publication Number: 10144825
ISBN: 9781369004052
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