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  • Statistics In Transition

 

Article | 26-May-2019

AN APPLICATION OF FUNCTIONAL DATA ANALYSIS TO LOCAL DAMAGE DETECTION

Vibration signals sampled with a high frequency constitute a basic source of informa-tion about machine behaviour. Few minutes of signal observations easily translate into several millions of data points to be processed with the purpose of the damage detection. Big dimensionality of data sets creates serious difficulties with detection of frequencies specific for a particular local damage. In view of that, traditional spectral analysis tools like spectrograms should be improved to efficiently

Jacek Leśkow, Maria Skupień

Statistics in Transition New Series, Volume 20 , ISSUE 1, 131–151

Research Article | 20-February-2013

A VIABLE CAPACITIVE APPROACH FOR DAMAGE DETECTION OF AIRCRAFT COMPOSITE MATERIAL

preliminary experimental results show that the measured capacitances decrease after damage occurs in aircraft composite material and that the proposed approach can effectively detect the damage of aircraft composite material. The proposed approach is a viable technique for in-situ damage detection of aircraft composite material.

Dong Ensheng, Jiang Yilin, Guo Wei, Yu Xiangbin

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 209–228

Research Article | 15-February-2020

An Experimental Assessment of PZT Patches for Impedance-Based SHM Applications

In this paper, we present an alternative method for assessing the sensitivity of lead zirconate titanate (PZT) piezoceramics for damage detection in structural health monitoring (SHM) systems based on the electromechanical impedance (EMI) principle. An assessment of the sensitivity is obtained experimentally using the pencil lead break (PLB) method, which is frequently used in acoustic emission (AE) systems. Tests were carried out on an aluminum beam, and the results show a clear relationship

Vinicius Augusto Dare de Almeida, Fabricio Guimarães Baptista

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–5

Research Article | 13-December-2017

CHARACTERIZATION OF CRACKS AND DELAMINATIONS USING PWAS AD LAMB WAVE BASED TIME-FREQUENCY METHODS

Use of smart sensor technology along with intelligent signal processing plays a crucial role in the implementation and working of ultrasonic wave based damage detection system. In this work, the interaction of A0 Lamb mode with damages like crack and delamination are studied. Piezoelectric Wafer Active Sensors (PWAS) are used for generation of Lamb waves to detect damages in metal and composite structures. Experiments were conducted on aluminum plates to study the interaction of Lamb wave with

R. Gangadharan, C.R.L. Murthy, S. Gopalakrishnan, M.R. Bhat, D. Roy Mahapatra

International Journal on Smart Sensing and Intelligent Systems, Volume 3 , ISSUE 4, 703–735

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