National Repository of Grey Literature 5 records found  Search took 0.00 seconds. 
Analysis of acoustic emission source location precision for general sensor configurations
Chlada, Milan ; Gális, P. ; Převorovský, Zdeněk
Proper sensor placement is the crucial step and a premise for precise acoustic emission (AE) source location estimate. Using the algorithm for finding the shortest ways in discretely defined bodies it is possible to design three parallel tools how to evaluate problematic areas, namely the location sensitivity, similarity and ambiguity maps, available even for discontinuous or anisotropic bodies. To check the numerical forecast of localization capabilities for given sensor configuration, theoretical results were compared with the data measured on the real steam pressure vessel.
Utilising of position profiles for location of continuous acoustic emission sources
Chlada, Milan ; Převorovský, Zdeněk ; Sladký, Petr
By detecting of continuous acoustic emission (AE) sources it is possible to precede potential emergencies as e.g. leaks of the media from pressure vessels, pipelines etc. Present location methods using attenuation characteristics of elastic waves have certain application restrictions. These disadvantages can be solved by introduction of so called position profiles. In this way, the attenuation dependencies of AE wave amplitude and the distance from emission source are converted to the dependencies between position profiles and Root Mean Square (RMS) of captured voltage signals of continuous AE. Proper location of real AE source is done by comparing of position profiles corresponding to model virtual sources with the position profile computed for a real source, while it is possible to apply optimization comparative methods or artificial neural networks. The paper presents detailed derivation and description of the new method, which is a subject of patent pending.
Localization and Identification of AE Sources by the Help of Time Reversal Mirrors
Převorovský, Zdeněk ; Krofta, Josef ; Chlada, Milan ; Farová, Zuzana
In this paper we suggest new concepts of more precise acoustic emission (AE) source localization and identification in komplex structures. The method is based on a Time Reversal (TR) AE signal processing. The new offline procedure, called TRAED (Time Reversal AE Deconvolution), is relativem simple and does not require any knowledge on the structure material and geometry.
Lokalizace zdrojů AE pomocí neuronových sítí na základě signálových parametrů
Chlada, Milan ; Blaháček, Michal ; Převorovský, Zdeněk
The new method of the AE source location by artificial neural networks, which process extracted signal parameters and do not consider the arrival time differences, is introduced.
AE Source Localization and Emission Parameters Correction Using Neural Networks
Chlada, Milan ; Blaháček, Michal ; Převorovský, Zdeněk
In the contribution, the new method, based on artificial neural networks (ANN), is proposed, which estimates the AE source location by processing other extracted signal parameters instead of arrival time differences.The complete signal inversion is not necessary for good diagnostic decision, and a simplified correction of the most important signal parameters by trained neural networks is sufficient.

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