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Wyświetlanie 1-6 z 6
Tytuł:
Research on stability and sensitivity of the rotating machines with overhung rotors to lateral vibrations
Autorzy:
Szolc, Tomasz
Konowrocki, Robert
Powiązania:
https://bibliotekanauki.pl/articles/2090690.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
overhung rotor-shaft
lateral vibrations
stability analysis
sensitivity analysis
system imperfection
wał wirnika
drgania boczne
analiza stabilności
analiza wrażliwości
niedoskonałość systemu
Opis:
The rotating machines with overhung rotors form a broad class of devices used in many types of industry. For this kind of rotor machine in the paper, there is investigated an inf luence of dynamic and static unbalance of a rotor, parallel and angular misalignments of shafts, and inner anisotropy of rigid couplings on system dynamic responses. The considerations are performed through a hybrid structural model of the machine rotor-shaft system, consisting of continuous beam finite elements and discrete oscillators. Numerical calculations are carried out for parameters characterizing a heavy blower applied in the mining industry. The main goal of the research is to assess the sensitivity of the imperfections mentioned above on excitation severity of rotor-shaft lateral vibrations and motion stability of the machine in question.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 6; e137987, 1--13
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Identification of safety hazards and operating conditions of the low-floor tram with independently rotating wheels with various drive control algorithms
Autorzy:
Konowrocki, Robert
Kalinowski, Dariusz
Szolc, Tomasz
Marczewski, Artur
Powiązania:
https://bibliotekanauki.pl/articles/1841837.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
maintenance of safety
reliability of trams
derailment of tramcar
numerical tests
drive with independently rotating wheel
SIMPACK Rail
Opis:
The aim of the article is to develop a method for the analysis of tram dynamics related to safety during operation. To achieve this, a mathematical model of the vehicle represented by a multibody simulation MBS system is used. Models of tram with a classic and innovative drive, based on a system of independently rotating wheels on crank axles are analyzed. A new configuration of an innovative drive control of the considered vehicle with the use of braking of independent wheels is proposed. A new geometry of test track is presented. During numerical investigation the values of ‘Y’ leading forces of tram wheels with the considered innovative drive proved to be lower than in the corresponding vehicle with standard wheelsets. It has been demonstrated that the active control systems are of key importance and should be applied in such innovative tram drives.
Źródło:
Eksploatacja i Niezawodność; 2021, 23, 1; 21-33
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dynamics of rotating machinery
Autorzy:
Ecker, Horst
Nordmann, Rainer
Burczyński, Tadeusz
Szolc, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/2090679.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 6; e139792, 1--6
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Control system with a non-parametric predictive algorithm for a high-speed rotating machine with magnetic bearings
Autorzy:
Kurnyta-Mazurek, Paulina
Szolc, Tomasz
Henzel, Maciej
Falkowski, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/2086845.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
magnetic bearing
predictive algorithms
high speed rotating machine
łożysko magnetyczne
algorytm predykcyjny
maszyna wirująca dużej prędkości
Opis:
This paper deals with research on the magnetic bearing control systems for a high-speed rotating machine. Theoretical and experimental characteristics of the control systems with the model algorithmic control (MAC) algorithm and the proportional-derivative (PD) algorithm are presented. The MAC algorithm is the non-parametric predictive control method that uses an impulse response model. A laboratory model of the rotor-bearing unit under study consists of two active radial magnetic bearings and one active axial (thrust) magnetic bearing. The control system of the rotor position in air gaps consists of the fast prototyping control unit with a signal processor, the input and output modules, power amplifiers, contactless eddy current sensors and the host PC with dedicated software. Rotor displacement and control current signals were registered during investigations using a data acquisition (DAQ) system. In addition, measurements were performed for various rotor speeds, control algorithms and disturbance signals generated by the control system. Finally, the obtained time histories were presented, analyzed and discussed in this paper.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 6; e138998, 1--9
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predicting length of fatigue cracks by means of machine learning algorithms in the small-data regime
Autorzy:
Badora, Maciej
Sepe, Marzia
Bielecki, Marcin
Graziano, Antonino
Szolc, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/2038115.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
empirical models
fatigue cracks
predictive maintenance
regression analysis
small data
statistical learning
turbomachinery
Opis:
In this paper several statistical learning algorithms are used to predict the maximal length of fatigue cracks based on a sample composed of 31 observations. The small-data regime is still a problem for many professionals, especially in the areas where failures occur rarely. The analyzed object is a high-pressure Nozzle of a heavy-duty gas turbine. Operating parameters of the engines are used for the regression analysis. The following algorithms are used in this work: multiple linear and polynomial regression, random forest, kernel-based methods, AdaBoost and extreme gradient boosting and artificial neural networks. A substantial part of the paper provides advice on the effective selection of features. The paper explains how to process the dataset in order to reduce uncertainty; thus, simplifying the analysis of the results. The proposed loss and cost functions are custom and promote solutions accurately predicting the longest cracks. The obtained results confirm that some of the algorithms can accurately predict maximal lengths of the fatigue cracks, even if the sample is small.
Źródło:
Eksploatacja i Niezawodność; 2021, 23, 3; 575-585
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-6 z 6

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