A method for acoustic source location in plate-type structures. (1st September 2017)

• Record Type: Journal Article
• Authors: Mostafapour, Amir; Davoodi, Saman
• Is Part Of: Mechanical systems and signal processing. Volume 93(2017)
• Page Start: 92
• Page End: 103
• Publication Date: 2017-09-01
• Subjects: Plate type structures -- Shannon entropy -- Wavelet transform -- Cross time frequency spectrum -- Dispersion curves; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2017.02.006
• Languages: English
• ISSNs: 0888-3270

Abstract

Highlights: Hsu-Nielsen source locating in two-layer plate. Gathering secondary pattern data base based on entropy of wavelet transform coefficients. Time delay estimation based on cross time frequency spectrum. Calculating dispersion curves and obtaining the frequency dependent velocity. Generating leak locating algorithm based on dispersion curves, Shannon entropy and cross time frequency spectrum. Abstract: In this study an algorithm based on Shannon entropy, cross-time frequency spectrum (CTFS) and frequency varying velocities was proposed for structure health monitoring in two-layer plate. A linear array of two sensors is applied to capture the signals. By reducing the number of sensors we used a secondary pattern to get enough information for source locating. For this purpose a pattern for secondary points based on Shannon entropy and cost function was developed. Then to estimate the time delay of signals, cross-time frequency spectrum function was taken from captured signals. The time delay was calculated when CTFS function reached the maximum value. By taking short time Fourier transform of cross correlation function of captures signals and using dispersive curves, time delay and corresponding frequency dependent velocity are estimated. The experiments were carried out and the results showed high precision of presented algorithm.