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Wyszukujesz frazę "Feng, Ming" wg kryterium: Autor


Wyświetlanie 1-7 z 7
Tytuł:
Experimental study of the nonlinear dynamics of a smooth and discontinuous oscillator with different smoothness parameters and initial values
Autorzy:
Chang, Yujian
Chen, Enli
Feng, Ming
Powiązania:
https://bibliotekanauki.pl/articles/281961.pdf
Data publikacji:
2019
Wydawca:
Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:
SD oscillator
experimental system
nonlinear dynamic characteristic
initial value sensitivity
smoothness parameters
Opis:
The dynamic response of a nonlinear system is very sensitive to initial conditions. Both the irrational nonlinearity and the large displacement of a smooth and discontinuous (SD) oscillator have been studied in this paper. An experimental study has been conducted on a model of the SD oscillator with different initial conditions and smoothness parameters. Experimental results indicate that tiny variation in the initial displacement will lead to different kinds of vibrations, and the system exhibits a wide range of nonlinear dynamical phenomena with the change of smoothness parameters. All experimental results are in good conformity with numerical simulation results.
Źródło:
Journal of Theoretical and Applied Mechanics; 2019, 57, 4; 935-946
1429-2955
Pojawia się w:
Journal of Theoretical and Applied Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
WIACKIE PODANIA O HEROSACH I ICH ODZWIERCIEDLENIE W TWÓRCZOŚCI BORYSA PORFIRJEWA
Autorzy:
Ming, Feng
Powiązania:
https://bibliotekanauki.pl/articles/604165.pdf
Data publikacji:
2018-11-18
Wydawca:
Polskie Towarzystwo Rusycystyczne
Opis:
W dorobku twórczym wiackiego pisarza Borysa Porfirjewa ważne miejsce zajmuje temat sportu i sportsmenów, uprawiających zwłaszcza dyscypliny siłowe. Portretując ich, pisarz wykorzystywał różnego rodzaju źródła dokumentalne, a także podania ludowe o herosach, które były dobrze znane w jego środowisku, gdyż publikowano je w prasie. Pisarz wykorzystał liczne motywy podaniowe, głównie dotyczące nadzwyczajnej siły protagonistów, do charakterystyki bohatera swojej powieści Wojownicy (ros. Борцы).
Źródło:
Przegląd Rusycystyczny; 2018, 1
0137-298X
Pojawia się w:
Przegląd Rusycystyczny
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dynamic tilt testing of MEMS inclinometers based on conical motions
Autorzy:
Yang, Qihang
Cai, Chenguang
Yang, Ming
Kong, Ming
Liu, Zhihua
Liang, Feng
Powiązania:
https://bibliotekanauki.pl/articles/2203364.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
MEMS inclinometer
sensitivity
dynamic testing
conical motion
angle drift
Opis:
The MEMS inclinometer integrates a tri-axis accelerometer and a tri-axis gyroscope to solve the perceived dynamic inclinations through a complex data fusion algorithm, which has been widely used in the fields of industrial, aerospace, and monitoring. In order to ensure the validity of the measurement results of MEMS inclinometers, it is necessary to determine their dynamic performance parameters. This study proposes a conical motion-based MEMS inclinometer dynamic testing method, and the motion includes the classical conical motion, the attitude conical motion, and the dual-frequency conical motion. Both the frequency response and drift angle of MEMS inclinometers can be determined. Experimental results show that the conical motions can accelerate the angle drift of MEMS inclinometers, which makes them suitable for dynamic testing of MEMS inclinometers. Additionally, the tilt sensitivity deviation of the MEMS inclinometer by the proposed method and the turntable-based method is less than 0.26 dB. We further provide the research for angle drift and provide discussion.
Źródło:
Metrology and Measurement Systems; 2023, 30, 1; 31--47
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Enrichment, Separation, and Recovery of Phosphorus from Dephosphorization Slag
Autorzy:
Yan-Ling, Z.
Ming, G.
Feng-Shan, L.
Kan, Y.
Powiązania:
https://bibliotekanauki.pl/articles/354800.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
phosphorus enrichment
selective enrichment and growth
P-rich phase
magnetic separation
Opis:
A better understanding of phosphorus distribution in slag is necessary to develop an effective way to treat dephosphorization slag formed during steelmaking. Here, previous studies on the enrichment, separation, and recovery of phosphorus from dephosphorization slag are reviewed, along with their influencing factors. The results suggest that a proper heat treatment can promote the selective enrichment and growth of P-rich phases. Further, adding P2O5 and FetO facilitates phosphorus enrichment. Also, Ca3(PO4)2 is precipitated from slag containing 18 wt% P2O5. MnO and MgO in the slag barely affect the phosphorus recovery. In contrast, the addition of Al2O3 and TiO2 significantly affects phosphorus enrichment and magnetic separation. A phosphorus recovery rate of more than 70% is achieved with the addition of 10 wt% Al2O3 or 10 wt% TiO2. New phases (Na2Ca4(PO4)2SiO4, Na3PO4, and Ca5(PO4)3F) tend to be formed on the addition of Na2O and CaF2, which promote phosphorus enrichment. However, the addition of Na2O and CaF2 results in the incomplete separation of phosphorus and iron, as CaF2 and Na2O improve slag metallization and the magnetism of iron-rich phases.
Źródło:
Archives of Metallurgy and Materials; 2018, 63, 4; 1769-1783
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Acoustic emission characteristics of deep granite under triaxial cylic loading and unloading
Autorzy:
Pei, Feng
Zhang, Yue-Zheng
Zhao, Ji-Wei
Geng, Jing-Ming
Powiązania:
https://bibliotekanauki.pl/articles/1402362.pdf
Data publikacji:
2020
Wydawca:
Politechnika Wrocławska. Wydział Geoinżynierii, Górnictwa i Geologii. Instytut Górnictwa
Tematy:
deep granite
acoustic emission
frequency spectrum
precursory feature recognition
Opis:
In order to obtain the damage and AE characteristics of deep granite, TAW-2000 electrohydraulic servo rigid testing equipment and PCI-2 acoustic emission acquisition system were used to clarify the relationship between AE characteristics and stress level under conventional triaxial and cyclic loading and unloading. The results show that: AE characteristic parameters such as counts and energy under different confining pressures have good consistency in reflecting cracks growth process, which correspond to the stress level of rock sample; Before the critical failure, the AE amplitude increases significantly and extremely high peak frequency and extremely low peak frequency began to appear; The phenomenon that peak frequency band number increases significantly can be used as the precursor of rock failure; The change trend of characteristic parameters, amplitude and peak frequency band were related to the stress level of rock, and the loading path has little influence on it, which verified the effectiveness of AE precursory feature recognition; FR value decreases continuously with the increase of cyclic stress level and overall trend is downward, which indicated that AE memory gradually decreases as the stress level increases; From the perspective of damage mechanics, the AE characteristics of rock before failure are explained reasonably by the development of damage rate.
Źródło:
Mining Science; 2020, 27; 209-225
2300-9586
2353-5423
Pojawia się w:
Mining Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Reliability assessment of wind turbine generators by fuzzy universal generating function
Autorzy:
Huang, Tudi
Xiahou, Tangfan
Li, Yan-Feng
Qian, Hua-Ming
Liu, Yu
Huang, Hong-Zhong
Powiązania:
https://bibliotekanauki.pl/articles/1841742.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
reliability assessment
double fed induction generator
multi-state system
fuzzy universal generating function
Opis:
Wind power has been widely used in the past decade because of its safety and cleanness. Double fed induction generator (DFIG), as one of the most popular wind turbine generators, suffers from degradation. Therefore, reliability assessment for this type of generator is of great significance. The DFIG can be characterized as a multi-state system (MSS) whose components have more than two states. However, due to the limited data and/or vague judgments from experts, it is difficult to obtain the accurate values of the states and thus it inevitably contains epistemic uncertainty. In this paper, the fuzzy universal generating function (FUGF) method is utilized to conduct the reliability assessment of the DFIG by describing the states using fuzzy numbers. First, the fuzzy states of the DFIG system’s components are defined and the entire system state is calculated based the system structure function. Second, all components’ states are determined as triangular fuzzy numbers (TFN) according to experts’ experiences. Finally, the reliability assessment of the DFIG based on the FUGF is conducted.
Źródło:
Eksploatacja i Niezawodność; 2021, 23, 2; 308-314
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Forecasting short-term electric load using extreme learning machine with improved tree seed algorithm based on Lévy flight
Autorzy:
Chen, Xuan
Przystupa, Krzysztof
Ye, Zhiwei
Chen, Feng
Wang, Chunzhi
Liu, Jinhang
Gao, Rong
Wei, Ming
Kochan, Orest
Powiązania:
https://bibliotekanauki.pl/articles/2087016.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
short-term electric load forecast
extreme learning machine
Lévy flight
tree-seed algorithm
Kernel principal component analysis
Opis:
In recent years, forecasting has received increasing attention since it provides an important basis for the effective operation of power systems. In this paper, a hybrid method, composed of kernel principal component analysis (KPCA), tree seed algorithm based on Lévy flight (LTSA) and extreme learning machine (ELM), is proposed for short-term load forecasting. Specifically, the randomly generated weights and biases of ELM have a significant impact on the stability of prediction results. Therefore, in order to solve this problem, LTSA is utilized to obtain the optimal parameters before the prediction process is executed by ELM, which is called LTSA-ELM. Meanwhile, the input data is extracted by KPCA considering the sparseness of the electric load data and used as the input of LTSA-ELM model. The proposed method is tested on the data from European network on intelligent technologies (EUNITE) and experimental results demonstrate the superiority of the proposed approaches compared to the other methods involved in the paper.
Źródło:
Eksploatacja i Niezawodność; 2022, 24, 2; 153--162
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-7 z 7

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