THE DEGENERATE STATE RECOGNITION METHOD OF ROLLING BEARING BASED ON LCD AND GMM-VPMCD HYBRID MODEL by LIU Jibiao, CHENG Junsheng, LIU Yanfei

“…In this paper,LCD,VPMCD and Gaussain mixture model（ GMM） are combined. Furthermore,the degenerate state recognition method of rolling bearings based on LCD and GMM-VPMCD hybrid model is proposed. …”
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A Method for Predicting Coal-Mine Methane Outburst Volumes and Detecting Anomalies Based on a Fusion Model of Second-Order Decomposition and ETO-TSMixer by Qiangyu Zheng, Cunmiao Li, Bo Yang, Zhenguo Yan, Zhixin Qin

“…The paper proposes a methane outburst volume-prediction and early-warning method. This method is based on a secondary decomposition and improved TSMixer model. …”
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Day-ahead photovoltaic power generation forecasting with the HWGC-WPD-LSTM hybrid model assisted by wavelet packet decomposition and improved similar day method by Ruxue Bai, Jinsong Li, Jinsong Liu, Yuetao Shi, Suoying He, Wei Wei

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Determination of Dynamic Characteristics of Composite Cantilever Beams Using Experimental and Analytical Methods by Alperen Türkay

“…The natural frequencies and mode shapes of the models were determined using the modal analysis method. …”
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Evolution of CFD numerical methods and physical models towards a full discrete approach by Caltagirone, Jean-Paul

“…The physical models and numerical methodologies of Computational Fluid Dynamics (CFD) are historically linked to the concept of continuous medium and to analysis where continuity, derivation and integration are defined as limits at a point. …”
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Modeling and Performance Analysis of Variable Cycle Engine with Ceramic Matrix Composite Turbine Blades by Baokuo Li, Sheng Huang, Huaixu Yan, Xiaobo Zhang, Kun Du, Zhanxue Wang

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Approximate Analytic Solutions for the Two-Phase Stefan Problem Using the Adomian Decomposition Method by Xiao-Ying Qin, Yue-Xing Duan, Mao-Ren Yin

“…An Adomian decomposition method (ADM) is applied to solve a two-phase Stefan problem that describes the pure metal solidification process. …”
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Research on Feature Extraction Method of Engine Misfire Fault Based on Signal Sparse Decomposition by Canyi Du, Fei Jiang, Kang Ding, Feng Li, Feifei Yu

“…To address these problems, this paper combines the priority of signal sparse decomposition and engine finite element model to research a novel feature extraction method for engine misfire diagnosis. …”
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Analysis of Aerodynamic Characteristics of Rotating Detonation Turbine Based on Proper Orthogonal Decomposition Method by Meiting Ling, Ting Zhao, Wenguo Luo, Jianfeng Zhu, Yancheng You

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Gaussian decomposition method for full waveform data of LiDAR base on neural network by Jie Liu, Xinjie Zhang, Jing Lv, Xinyu Li, Libin Du

“…The method has significant potential for application in the field of mapping, 3D modeling.…”
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Influence of Modal Decomposition Algorithms on Nonlinear Time Series Machine Learning Prediction Models in Engineering: A Case Study of Subway Tunnel Settlement by Qingmeng Shen, Yuming Wu, Limin Wan, Qian Chen, Yue Li, Zichao Liao, Wenbo Wang, Feng Li, Tao Li, Jiajun Shu

“…To overcome the problems of historical data interference and spatiotemporal characteristics in tunnel settlement prediction models, this paper proposes a tunnel settlement prediction method based on data decomposition, reconstruction, and optimization. …”
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Short-Term Wind Power Prediction Method Based on CEEMDAN-VMD-GRU Hybrid Model by Na Fang, Zhengguang Liu, Shilei Fan

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Fractional Order Mathematical Model for Predicting and Controlling Dengue Fever Spread Based on Awareness Dynamics by Ahmed S. Rashed, Mahy M. Mahdy, Samah M. Mabrouk, Rasha Saleh

“…The system of equations is solved using the Adomian Decomposition Method (ADM) since it converges rapidly to the exact solution and can give explicit analytical solutions. …”
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Vibration Signal Forecasting on Rotating Machinery by means of Signal Decomposition and Neurofuzzy Modeling by Daniel Zurita-Millán, Miguel Delgado-Prieto, Juan José Saucedo-Dorantes, Jesus Adolfo Cariño-Corrales, Roque A. Osornio-Rios, Juan Antonio Ortega-Redondo, Rene de J. Romero-Troncoso

“…This work proposes a vibration signal prognosis methodology, applied to a rotating electromechanical system and its associated kinematic chain. The method combines the adaptability of neurofuzzy modeling with a signal decomposition strategy to model the patterns of the vibrations signal under different fault scenarios. …”
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Efficient Optimization Design Method for Ultra-Wideband Absorber Utilizing Frequency-Dispersive Paper-Composites by Xin Xiu, Weihao Tu, Kun Tang, Xiaojiao Zhao, Jin Long, Wenjie Feng, Wenquan Che

“…In this method, a characterization model for permittivity is constructed and then integrated with a modified genetic algorithm for further optimization. …”
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Multiband Prediction Model for Financial Time Series with Multivariate Empirical Mode Decomposition by Md. Rabiul Islam, Md. Rashed-Al-Mahfuz, Shamim Ahmad, Md. Khademul Islam Molla

“…The simulation results show that the MEMD-ARMA-based method performs better than the other methods.…”
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Accelerated Restricted Additive Schwarz method for asynchronous processing by A. Ben bouzid, Y. Khali, S. Khallouq, N. Nagid

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Mathematical modeling of thermal decomposition of resins in the process of reversed gasification of plant biomass by I. G. Donskoy

“…METHODS. To this end, mathematical models are used in different statements: the decomposition of the tar is considered in the approximations of one- and two-reaction kinetic scheme; to assess the influence of the bed height and temperature, the convection-diffusionreaction equation with a given temperature distribution along the length of the reaction zone is used; the temperature of the gasification process is estimated from experimental data and thermodynamic calculations. …”
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ASSESSMENT OF ENVIRONMENTAL IMPACT OF ENERGY FACILITIES IN THE ISLAMIC REPUBLIC OF IRAN BY METHOD OF BUILDING COMPOSITE THREE-DIMENSIONAL MODELS by M. A. Mehdizadeh

“…The author represents the method of creating composite 3D-models employing technology of geographical information systems for environmental impact assessment of projected, constructed and operating energy facilities. …”
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Description of the method of fuzzy situational control based on a composite hybrid model of a complex technical system by D. Yu. Avramenko

“…Method. The use of a compositional hybrid model solves the problem of describing and modeling the system in conditions of incomplete data and the impossibility of obtaining information about the entire range of the system's operation. …”
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