A new Leak Detection Method Applicable for Low and High Pressure Vessels, M.Sc. Thesis Sharif University of Technology ; Sharif Bakhtiar, Mehrdad (Supervisor)
Abstract
A New method is proposed to find a mother wavelet for the best localization of acoustic emission (AE) signals generated by leakage in a pipe. At the first step, knowing stochastic nature of acoustic emission signals, a leakage signal in time domain was trapped by monitoring the Short Time Fourier transform (STFT) of AE signal over a relatively long time interval to find frequency traces of leakage AE signal. The trapped signal was used to find a mother wavelet for the best signal localization. Then a novel method for AE signal detection using tuned wavelet is discussed. For this purpose experiments were done in predefined situations to collect signals generated in water filled plastic pipe...
Cataloging briefA new Leak Detection Method Applicable for Low and High Pressure Vessels, M.Sc. Thesis Sharif University of Technology ; Sharif Bakhtiar, Mehrdad (Supervisor)
Abstract
A New method is proposed to find a mother wavelet for the best localization of acoustic emission (AE) signals generated by leakage in a pipe. At the first step, knowing stochastic nature of acoustic emission signals, a leakage signal in time domain was trapped by monitoring the Short Time Fourier transform (STFT) of AE signal over a relatively long time interval to find frequency traces of leakage AE signal. The trapped signal was used to find a mother wavelet for the best signal localization. Then a novel method for AE signal detection using tuned wavelet is discussed. For this purpose experiments were done in predefined situations to collect signals generated in water filled plastic pipe...
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