Diagnostics of rotor damages of three-phase induction motors using acoustic signals and SMOFS-20-EXPANDED

A Glowacz - Archives of Acoustics, 2016 - acoustics.ippt.gov.pl
A fault diagnostics system of three-phase induction motors was implemented. The
implemented system was based on acoustic signals of three-phase induction motors. A …

Comparative analysis of the properties of the nodular cast iron with carbides and the austempered ductile iron with use of the machine learning and the support vector …

D Wilk-Kolodziejczyk, K Regulski… - The International Journal of …, 2016 - Springer
The use of modern casting materials allows the achievement of higher product quality
indices. The conducted experimental studies of new materials allow obtaining alloys with …

Recognition of acoustic signals of synchronous motors with the use of MoFS and selected classifiers

A Glowacz - Measurement Science Review, 2015 - sciendo.com
This paper proposes an approach based on acoustic signals for detecting faults appearing
in synchronous motors. Acoustic signals of a machine were used for fault detection. These …

Data mining tools in identifying the components of the microstructure of compacted graphite iron based on the content of alloying elements

D Wilk-Kolodziejczyk, K Regulski, G Gumienny… - … International Journal of …, 2018 - Springer
The application of data mining techniques in the design of modern foundry materials allows
achieving higher product quality indicators. Designing of a new product always requires …

Knowledge-based methods for cost estimation of metal casts

A Maciol - The International Journal of Advanced Manufacturing …, 2017 - Springer
The aim of the research presented in this paper was to verify the hypothesis that the problem
of estimating the variable costs of metal casts can be solved by using knowledge-based …

Development of casting defect analysis module through integrated approach for small and medium scale industries

N Mehta, AV Gohil, KG Dave, VB Patel - Materials Today: Proceedings, 2021 - Elsevier
Casting process carries a threat of deficiency occurrence during stages of manufacturing
because of the involvementof a large number of manufacturing parameters starting from …

The selection of heat treatment parameters to obtain austempered ductile iron with the required impact strength

D Wilk-Kołodziejczyk, K Regulski, T Giętka… - Journal of Materials …, 2018 - Springer
The effect of austempering parameters on impact energy of non-alloyed cast iron with
nodular graphite was examined. The analysis involved the austenitizing temperature in the …

A system of analysis and prediction of the loss of forging tool material applying artificial neural networks

M Hawryluk, B Mrzyglod - Journal of Mining and Metallurgy, Section …, 2018 - doiserbia.nb.rs
The article presents the use of artificial neural networks (ANN) to build a system of analysis
and forecasting of the durability of forging tools and the process of acquiring the source …

[PDF][PDF] Approximation of ausferrite content in the compacted graphite iron with the use of combined techniques of data mining

K Regulski, D Wilk-Kołodziejczyk… - Archives of Foundry …, 2017 - bibliotekanauki.pl
This article presents the methodology for exploratory analysis of data from microstructural
studies of compacted graphite iron to gain knowledge about the factors favouring the …

Expert system for analysis of casting defects-ESVOD

T Elbel, Y Králová, J Hampl - Archives of Foundry Engineering, 2015 - journals.pan.pl
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