Results 61 to 70 of about 50,188 (187)
Non-contact incipient fault diagnosis method of fixed-axis gearbox based on CEEMDAN [PDF]
Royal Society Open Science, 2017 Gearbox plays most essential role in the modern machinery for transmitting the required torque along with motion and contributes to wide range of applications. Any failure in gearbox components affects the productivity and efficiency of the system.
Vanraj, S. S. Dhami, B. S. Pabla
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Extreme-Point Symmetric Mode Decomposition Method for Data Analysis
, 2013 An extreme-point symmetric mode decomposition (ESMD) method is proposed to improve the Hilbert-Huang Transform (HHT) through the following prospects: (1) The sifting process is implemented by the aid of 1, 2, 3 or more inner interpolating curves, which ...
Li, Zong-Jun, Wang, Jin-Liang
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Chinese Journal of Mechanical Engineering, 2022 Low excitation voltage for an electromagnetic acoustic transducer (EMAT) is necessary for the petrochemical equipment and facilities inspection, which work at high-temperatures, to avoid potential explosion.
Jinjie Zhou +4 more
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Noise Corruption of Empirical Mode Decomposition and Its Effect on Instantaneous Frequency
, 2010 Huang's Empirical Mode Decomposition (EMD) is an algorithm for analyzing nonstationary data that provides a localized time-frequency representation by decomposing the data into adaptively defined modes.
Kaslovsky, Daniel N., Meyer, Francois G.
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Jurnal Teknik Industri, 2020 Improving accuracy of wind power prediction is important to maintain power system stability. However, wind power prediction is difficult due to randomness and high volatility characteristics.
Irene Karijadi, Ig. Jaka Mulyana
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Tourism forecasting using hybrid modified empirical mode decomposition and neural network [PDF]
, 2017 Due to the dynamically increasing importance of the tourism industry worldwide, new approaches for tourism demand forecasting are constantly being explored especially in this Big Data era.
Samsudin, Ruhaidah +2 more
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A decomposition clustering ensemble learning approach for forecasting foreign exchange rates
Journal of Management Science and Engineering, 2019 A decomposition clustering ensemble (DCE) learning approach is proposed for forecasting foreign exchange rates by integrating the variational mode decomposition (VMD), the self-organizing map (SOM) network, and the kernel extreme learning machine (KELM).
Yunjie Wei +4 more
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Using Empirical Mode Decomposition to Study Periodicity and Trends in Extreme Precipitation [PDF]
, 2015 Classically, we look at annual maximum precipitation series from the perspective of extreme value statistics, which provides a useful statistical distribution, but does not allow much flexibility in the context of climate change.
Pfister, Noah
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Quantification of Dynamic Properties of Pile Using Ensemble Empirical Mode Decomposition
Advances in Civil Engineering, 2018 This paper investigated dynamical interactions between pile and frozen ground by using the ensemble empirical mode decomposition (EEMD) method. Unlike the conventional empirical mode decomposition (EMD) method, EEMD is found to be able to separate the ...
Feng Xiao +3 more
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Analysis of Rainfall and Temperature Data Using Ensemble Empirical Mode Decomposition
Data Science Journal, 2019 Climatic variables such as rainfall and temperature have nonlinear and non-stationary characteristics such that analysing them using linear methods inconclusive results are found. Ensemble empirical mode decomposition (EEMD) is a data-adaptive method that is best suitable for data with nonlinear and non-stationary characteristics.
Willard Zvarevashe +2 more
openaire +4 more sources