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Wyszukujesz frazę "Cheng, Ming" wg kryterium: Autor

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    Wyświetlanie 1-10 z 10
    Tytuł:
    Fault Diagnosis of Sensors for T-type Three-Level Inverter-fed Dual Three-Phase Permanent Magnet Synchronous Motor Drives
    Autorzy:
    Wang, Xueqing
    Wang, Zheng
    Wang, Wei
    Cheng, Ming
    Powiązania:
    https://bibliotekanauki.pl/articles/1193713.pdf
    Data publikacji:
    2019
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    fault diagnosis
    sensor fault
    T-type inverter
    three-level inverter
    dual
    three-phase
    PMSM
    Opis:
    To improve the reliability of motor system, this paper investigates the sensor fault diagnosis methods for T-type inverter-fed dual three-phase permanent magnet synchronous motor (PMSM) drives. Generally, a T-type three-level inverter-fed dual three-phase motor drive utilizes four phase-current sensors, two direct current (DC)-link voltage sensors and one speed sensor. A series of diagnostic methods have been comprehensively proposed for the three types of sensor faults. Both the sudden error change and gradual error change of sensor faults are considered. Firstly, the diagnosis of speed sensor fault was achieved by monitoring the error between the rotating speed of stator flux and the value from speed sensor. Secondly, the large high-frequency voltage ripple of voltage difference between the estimated voltage and the reference voltage was used to identify the voltage sensor faults, and the faulty voltage sensor was determined according to the deviation of voltage difference. Thirdly, the abnormal current amplitude on harmonic subspace was adopted to identify the current sensor faults, and the faulty current sensor was located by distinguishing the current trajectory on harmonic subspace. The experiments have been taken on a laboratory prototype to verify the effectiveness of the proposed fault diagnosis schemes.
    Źródło:
    Power Electronics and Drives; 2019, 4, 39; 165-176
    2451-0262
    2543-4292
    Pojawia się w:
    Power Electronics and Drives
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Fatigue life prediction of wire rope based on grey particle filter method under small sample condition
    Autorzy:
    Zhao, Dan
    Liu, Yu-Xin
    Ren, Xun-Tao
    Gao, Jing-Zi
    Liu, Shao-Gang
    Dong, Li-Qiang
    Cheng, Ming-Shen
    Powiązania:
    https://bibliotekanauki.pl/articles/2038206.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
    Tematy:
    wire rope
    fatigue life prediction
    small sample size
    grey theory
    particle filter method
    Opis:
    The fatigue life prediction of wire ropes has two main characteristics: a large test sample size and uncertain factors. In this paper, based on the small number of wire rope fatigue life data, the grey particle filter method has been used to realize the fatigue life prediction of wire rope under different load conditions. First, the GOM(1,1) model is constructed and the reliability life data of wire rope is predicted under small sample size. Then, P-S-N curve of the dangerous part is determined by combining the equivalent alternating stress of the dangerous part of the wire rope during the fatigue test. Subsequently, the particle filter method is used to modify P-S-N curve. Finally, the fatigue life prediction model of wire rope is obtained based on fatigue damage accumulation, which realized the fatigue life prediction under different load conditions, and the results were compared with that from the test. The results show that the proposed method is effective and has high accuracy in wire rope fatigue life prediction under single, combined loading conditions and small sample size.
    Źródło:
    Eksploatacja i Niezawodność; 2021, 23, 3; 454-467
    1507-2711
    Pojawia się w:
    Eksploatacja i Niezawodność
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Genetic algorithm for solving celestial navigation fix problems
    Autorzy:
    Tsou, Ming-Cheng
    Powiązania:
    https://bibliotekanauki.pl/articles/963415.pdf
    Data publikacji:
    2012
    Wydawca:
    Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
    Tematy:
    genetic algorithm
    celestial navigation
    intercept method
    celestial fix
    Opis:
    As we enter the 21st century and advance further into the information age, traditional methods for computing a celestial navigation fix can no longer meet the requirements of modern vessels in terms of calculation speed and precision. Study of precise, rapid, and convenient celestial navigation computational methods and the application of information technology to modern celestial navigation is especially meaningful, considering the current push for e-Navigation. In this work, we employ a genetic algorithm, from the field of artificial intelligence, due to its superior search ability that mimics the natural process of biological evolution. Unique encodings and genetic operators designed in this study, in combination with the fix principle of celestial circles of equal altitude in celestial navigation, allow the rapid and direct attainment of accurate optimum vessel position. Test results indicate that this method has more flexibility, and avoids tedious and complicated computation and graphical procedures.
    Źródło:
    Polish Maritime Research; 2012, 3; 53-59
    1233-2585
    Pojawia się w:
    Polish Maritime Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Prediction of PM2.5 hourly concentrations in Beijing based on machine learning algorithm and ground-based LiDAR
    Autorzy:
    Fang, Zhiyuan
    Yang, Hao
    Li, Cheng
    Cheng, Liangliang
    Zhao, Ming
    Xie, Chenbo
    Powiązania:
    https://bibliotekanauki.pl/articles/2073773.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    PM2.5
    LiDAR
    machine learning
    air pollution monitoring
    Opis:
    The prediction of PM2.5 is important for environmental forecasting and air pollution control. In this study, four machine learning methods, ground-based LiDAR data and meteorological data were used to predict the ground-level PM2.5 concentrations in Beijing. Among the four methods, the random forest (RF) method was the most effective in predicting ground-level PM2.5 concentrations. Compared with BP neural network, support vector machine (SVM), and various linear fitting methods, the accuracy of the RF method was superior by 10%. The method can describe the spatial and temporal variation in PM2.5 concentrations under different meteorological conditions, with low root mean square error (RMSE) and mean square deviation (MD), and the consistency index (IA) reached 99.69%. Under different weather conditions, the hourly variation in PM2.5 concentrations has a good descriptive ability. In this paper, we analyzed the weights of input variables in the RF method, constructed a pollution case to correspond to the relationship between input variables and PM2.5, and analyzed the sources of pollutants via HYSPLIT backward trajectory. This method can study the interaction between PM2.5 and air pollution variables, and provide new ideas for preventing and forecasting air pollution.
    Źródło:
    Archives of Environmental Protection; 2021, 47, 3; 98--107
    2083-4772
    2083-4810
    Pojawia się w:
    Archives of Environmental Protection
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Validation of School Core Competence Scale for Undergraduates: Empirical Findings of Taiwan Case
    Autorzy:
    Wu, Shwu Ming
    Yang, Cheng Hong
    Hsu, Wan Chen
    Powiązania:
    https://bibliotekanauki.pl/articles/2031728.pdf
    Data publikacji:
    2014-09-30
    Wydawca:
    Wydawnictwo Adam Marszałek
    Tematy:
    School Core Competence Scale
    validation studies
    Taiwanese undergraduates
    Opis:
    This study aimed to validate the 25-item School Core Competence Scale (SCCS) of the National Kaohsiung University of Applied Sciences. Item analysis and exploratory factor analysis were utilized with 368 undergraduates and confirmatory factor analysis with another 384 undergraduates. The SCSS had eight subscales, including Communication and Expression, International Perspective, Humanity, Civics and Morals, Professional Knowledge and Skills, Integrative Learning, Passion and Anti-stress, and Self-discipline. Results indicated that the SCCS is a valid and reliable instrument among undergraduates. Particularly, women scored higher on Communication and Expression, Civics and Morals, Self-discipline as well as the total scale.
    Źródło:
    The New Educational Review; 2014, 37; 95-105
    1732-6729
    Pojawia się w:
    The New Educational Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Flexural Properties of Thin Fly Ash Geopolymers at Elevated Temperature
    Autorzy:
    Ng, Yong-Sing
    Liew, Yun Ming
    Heah, Cheng Yong
    Abdullah, Mohd Mustafa Al Bakri
    Ng, Hui-Teng
    Chan, Lynette Wei Ling
    Powiązania:
    https://bibliotekanauki.pl/articles/2134117.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    thin geopolymer
    fly ash
    elevated temperature
    flexural strength
    Opis:
    This paper reports on the flexural properties of thin fly ash geopolymers exposed to elevated temperature. The thin fly ash geopolymers (dimension = 160 mm × 40 mm × 10 mm) were synthesised using 12M NaOH solution mixed with designed solids-to-liquids ratio of 1:2.5 and Na2SiO3/NaOH ratio of 1:4 and underwent heat treatment at different elevated temperature (300°C, 600°C, 900°C and 1150°C) after 28 days of curing. Flexural strength test was accessed to compare the flexural properties while X-Ray Diffraction (XRD) analysis was performed to determine the phase transformation of thin geopolymers at elevated temperature. Results showed that application of heat treatment boosted the flexural properties of thin fly ash geopolymers as the flexural strength increased from 6.5 MPa (room temperature) to 16.2 MPa (1150°C). XRD results showed that the presence of crystalline phases of albite and nepheline contributed to the increment in flexural strength.
    Źródło:
    Archives of Metallurgy and Materials; 2022, 67, 3; 1145--1150
    1733-3490
    Pojawia się w:
    Archives of Metallurgy and Materials
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Effect of Sodium Aluminate on the Fresh and Hardened Properties of Fly Ash-Based One-Part Geopolymer
    Autorzy:
    Ooi, Wan-En
    Liew, Yun Ming
    Heah, Cheng Yong
    Ho, Li-Nge
    Abdullah, Mohd Mustafa Al Bakri
    Ong, Shee-Ween
    Sandu, Andrei Victor
    Powiązania:
    https://bibliotekanauki.pl/articles/2106571.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    geopolymer
    one-part geopolymer
    fly ash
    sodium aluminate
    sodium metasilicate
    Opis:
    The one-part geopolymer binder was synthesis from the mixing of aluminosilicate material with solid alkali activators. The properties of one-part geopolymers vary according to the type and amount of solid alkali activators used. This paper presents the effect of various sodium metasilicate-to-sodium aluminate (NaAlO2/Na2SiO3) ratios on fly ash-based one-part geopolymer. The NaAlO2/Na2SiO3 ratios were set at 1.0 to 3.0. Setting time of fresh one-part geopolymer was examined through Vicat needle apparatus. Mechanical and microstructural properties of developed specimens were analysed after 28 days of curing in ambient condition. The study concluded that an increase in NaAlO2 content delayed the setting time of one-part geopolymer paste. The highest compressive strength was achieved at the NaAlO2/Na2SiO3 ratio of 2.5, which was 33.65 MPa. The microstructural analysis revealed a homogeneous structure at the optimum ratio. While the sodium aluminium silicate hydrate (N-A-S-H) and anorthite phases were detected from the XRD analysis.
    Źródło:
    Archives of Metallurgy and Materials; 2022, 67, 2; 441--445
    1733-3490
    Pojawia się w:
    Archives of Metallurgy and Materials
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Effect of Silica Fume and Alumina Addition on the Mechanical and Microstructure of Fly Ash Geopolymer Concrete
    Autorzy:
    Fong, Sue Min
    Heah, Cheng Yong
    Liew, Yun Ming
    Abdullah, Mohd Mustafa Al Bakri
    Hasniyati, Md Razi
    Low, Foo Wah
    Ng, Hui-Teng
    Ng, Yong-Sing
    Powiązania:
    https://bibliotekanauki.pl/articles/2048824.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    geopolymer
    concrete
    silica fume
    alumina
    Opis:
    This paper discussed the effect of the addition of silica fume (2 wt.% and 4 wt.%) and alumina (2 wt.% and 4 wt.%) on the properties of fly ash geopolymer concrete. The fly ash geopolymer concrete achieved the highest 28-day compressive strength with 2 wt.% of silica fume (39 MPa) and 4 wt.% of alumina (41 MPa). The addition of 2 wt.% of silica fume increased the compressive strength by 105% with respect to the reference geopolymer (without additive). On the other hand, the compressive strength surged by 115% with 4 wt.% of alumina compared to the reference geopolymer. The addition of additives improved the compactness of the geopolymer matrix according to the morphology analysis.
    Źródło:
    Archives of Metallurgy and Materials; 2022, 67, 1; 197-202
    1733-3490
    Pojawia się w:
    Archives of Metallurgy and Materials
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-10 z 10

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