| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Vuherer, Tomaž
University of Maribor
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (16/16 displayed)
- 2023Evaluation of the impact and fracture toughness of a nanostructured bainitic steel with low retained austenite content
- 2023Optimisation of precipitation hardening for 15-5 PH martensitic stainless steel produced by wire arc directed energy depositioncitations
- 2023ASSESSMENT OF FATIGUE BEHAVIOUR OF UHSS STEEL BUTT-WELDED JOINTS BY MEANS OF A FRACTURE MECHANICS METHODOLOGY
- 2022Effect of welding processes on the fatigue behaviour of ultra-high strength steel butt-welded jointscitations
- 2022Experimental Analysis of HSLA Steel Welded Joint Fracture Behaviourcitations
- 2020The Effect of Ti-6Al-4V Alloy Surface Structure on the Adhesion and Morphology of Unidirectional Freeze-Coated Gelatincitations
- 2019A new statistical pattern recognition method and a new sequence hybrid method of intelligent systems
- 2019CMT additive manufacturing of a high strength steel alloy for application in crane constructioncitations
- 2017The influence of electric arc activation on the speed of heating and the structure of metal in weldscitations
- 2017Fatigue crack initiation from microstructurally small Vickers indentations ; Nastanak zamorne pukotine iz mikrostrukturno malih vickersovih otisaka
- 2015The behaviour of coarse-grain HAZ steel with small defects during cycling loading ; Vedenje jekla grobozrnatega TVP z napakami pri ciklični obremenitvi
- 2015Behaviour of short cracks emanating from tiny drilled holes ; Vedenje kratkih razpok, ki nastanejo iz majhnih izvrtin
- 2015Automated diagnostics of damage to an aluminum alloy under the conditions of high-cycle fatigue ; Avtomatizirana diagnostika poškodbe aluminijeve zlitine pri visoko-cikličnem utrujanju
- 2015Methodology of determination the influence of corrosion pit on decrease of hydro turbine shaft fatigue life
- 2012Some factors affecting fatigue resistance of welds ; Neki faktori koji utiču na otpornost zavara prema zamoru
- 2012Microcrack initiation and growth in heat-risistant 15Kh2MFA steel under cyclic loading
Places of action
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article
A new statistical pattern recognition method and a new sequence hybrid method of intelligent systems
Abstract
In the paper we use methods of the intelligent system to predict the complexity of the network fracture of hardened specimens. We use a mathematical method of the network theory and fractal geometry in engineering, particularly in laser techniques. Moreover, using the fractal geometry, we investigate the complexity of the network fracture of the robot-laser hardened specimens, and analyze specimens hardened with different robot laser-cell parameters, such as the speed and temperature. Laser hardening is a metal-surface treatment process complementary to the conventional and induction hardening process. In this paper, we present a new method for the statistical pattern recognition using statistical techniques in analyzing the data measurements in order to extract information and take oppromate decisions in particularly mechanical engineering. To predict of the complexity of the network fracture of hardened patterns, we use multiple regression, neural network and support vector machine and to predict topographical property of hardened specimens, we use a hybrid method of machine learning.