Conveners
Defectoscopy and Physical Monitoring Systems
- Václav Kůs (KM FJFI CVUT)
Defectoscopy and Physical Monitoring Systems
- Václav Kůs (KM FJFI CVUT)
Defectoscopy and Physical Monitoring Systems
- There are no conveners in this block
Artificial neural networks have been used in acoustic emission signal processing for a long time. In recent years, however, the application capabilities of machine learning have been significantly expanded due to the development of modern architectures of artificial intelligence. Since the early tests of feed-forward neural networks to account for the anisotropy of elastic wave propagation...
The goal of this paper is to summarize deep learning methods and to apply the gained knowledge on signal decomposition and signal event detection tasks. In the first part several architectures are applied to a continuous signal in order to estimate its original components corresponding to the individual sources. Several metrics are used in order to evaluate the final models. In the second part...
Reliable classification of acoustic emission signals is crucial for practical use of this nondestructive testing technique. During the classification, signals can either be represented by a convenient, low-dimensional set of attributes or passed in their entirety to the classification algorithm. This contribution adresses the problem of selecting efficient attributes for classification and...
The talk will serve as an Introduction to both the following lectures of the french students from the Institute of Thermomechanics AV ČR. We deal with the techniques and methods used in in-vivo skin elasticity characterizations. Precise measurements on skin flexibility is needed and thus we focus on mechanic properties of human skin and very delicated measurement techniques.
Human skin has a complex mechanical behavior which can be described as anisotropic and non-linearly viscoelastic. These properties are not well determined but they are of great interest e.g. in cosmetic industry and aesthetic medicine.
This paper deals with a novel design of a device which measures the mechanical characteristics of the skin in-vivo, in particular the detailed mechanical...
Much research has been conducted on the characteristics of skin and collagen as one of the skin's main components at the micro-scale. However, there are limited studies on the mechanical behavior of biomaterials such as skin at the macro-scale. This is due to the complexity of their structure and various characteristics that are dependent on a huge range of parameters. Gaining knowledge on...
Acoustic Emission (AE) testing is one of very important methods of non-destructive material testing. Measured signal of AE can have its origin not only in a defect of material, but also it can be caused by noise in material. From this reason it is necessary to classify measured AE signals. For classification we use several classification methods as, for example, fuzzy method, Support Vector...
The mixture of probability densities are identified for hysteretic material reprezented in its Preisach-Mayergoyz (PM) space, based on measured hysteresis curve. First, the theoretical description of hysteresis and its PM model are introduced. The heuristic optimization algorithm called aDE-Jaya is employed in order to optimize the parameters of every density components. These components are...
