Singularity Detection in Experimental Data by Means of Wavelet Transform

1999 ◽  
Vol 121 (2) ◽  
pp. 418-421
Author(s):  
F. Morency ◽  
J. Lemay
2017 ◽  
Author(s):  
Dandan Yang ◽  
Lixin Wang ◽  
Wenbin Hu ◽  
Zhen Zhang ◽  
Jinghua Fu ◽  
...  

Author(s):  
Andreas Kyprianou ◽  
Andreas Tjirkallis

An important task in structural health monitoring (SHM) is that of damage detection under varying environmental and operational conditions. Structures, under varying environmental conditions, change their mass, elasticity and damping properties whereas changing operational conditions cause changes to excitations. A damage detection methodology implemented in these circumstances faces serious challenges since changes to structural behaviour imparted by environmental or operational conditions could be wrongly attributed to damage. The part of a damage detection decision algorithm that removes environmental and operational effects is called normalization. In this chapter a normalization methodology that is based on the similarity between continuous wavelet transform maxima decay lines is presented. This methodology is implemented on both simulated and experimental data. Simulated data were obtained from a three degree of freedom system. Varying environmental conditions were simulated by temperature dependent stiffness parameters and operating conditions by changing the colour of random excitation. Experimental data were obtained from damaged cantilever beams that were subjected to random excitations of different colour and varying temperatures.


2012 ◽  
Vol 263-266 ◽  
pp. 2999-3004 ◽  
Author(s):  
Ying Chen ◽  
Lei Zhang ◽  
Xiao Juan Ji

Because less data can be hidden on the small vector data set , its copyright is very difficult to obtain protection, and the data is vulnerable to attack, so a new double watermarking algorithm was proposed in this paper. Its main features are: 1) it selected feature points from the sequence of Douglas, then embedded watermarking points on both sides of the feature point, and last embedded watermarking points by wavelet transform again; 2) Further more it increased the map graphic deformation control design. The algorithm was applied to experimental data, and the test results showed that the algorithm had good robustness on graphics, rotation, scaling and shifting geometric transformation of points in graph layers. However, due to the smaller vector data set, so the algorithm is robustness on deletion and cropping of points in graph layers.


2019 ◽  
pp. 4-13
Author(s):  
V. E. Makhov ◽  
V. V. Shirobokov ◽  
A. I. Potapov

The issues of identification and determination of the relative position of localized light marks and images of small-sized objects recorded by an optical-electronic system (OES) are considered. A physical model and a research virtual device (VI) were developed on the basis of National Instruments software for identification and coordinate determination of two light marks at their different relative positions and the ratio of their intensities. It is shown that the use of a mathematical method for analyzing the illumination contour of two light labels on the basis of a continuous wavelet transform (CWT) allows identifying each label separately and determining the degree of superposition of their images. It is shown that the amplitudes and positions of the maxima of the CWT coefficients are related to the relative shift of the illuminance contours of the light marks, as the marking contours separate, the dependence of the position of the maxima becomes linear. The result of comparing the experimental data with theoretical calculations for the models of light labels showed a match within 25 %.


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