Failure Rate Prediction of a Power Transformer: A Decomposition-Based Bayesian Deep Learning Method by Weixin Zhang, Changzheng Shao, Wei Huang, Bo Hu, Jiahao Yan, Kaigui Xie, Maosen Cao, Zhengze Wei

“…This paper proposes a decomposition-based Bayesian deep learning (BDL) method to predict the failure rate of power transformers. …”
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A Method for Solving LiDAR Waveform Decomposition Parameters Based on a Variable Projection Algorithm by Ke Wang, Guolin Liu, Qiuxiang Tao, Luyao Wang, Yang Chen

“…It can also provide a new method for parameter estimation in the Gaussian model for LiDAR waveform decomposition.…”
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Interference coupling cooperative suppression method for wideband carrier communication based on improved variational mode decomposition by Dandan DONG, Ning SUN

“…The interference coupling of power line broadband carrier communication aggravates the frequency domain tailing between subcarriers, reduces the sensitivity of suppression methods, and the communication quality is poor.Therefore, a cooperative suppression method of interference coupling of power line broadband carrier communication based on improved variational modal decomposition was proposed.Based on the channel characteristics of power line broadband carrier communication, a communication channel model with multipath propagation and Doppler effect was established, the communication signal was simulated, the original signal was preprocessed by using the improved variational modal decomposition algorithm, and the suppression problem was transformed into a variational problem.At the same time, the signal was expressed in the discrete form of unconstrained variational problem.The variational problem was continuously updated to complete the separation and processing of the signal, and realize the cooperative suppression of communication interference.The experimental results show that the proposed method has low bit error rate, small frequency offset, and practical application value.…”
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Enhancing hydrodynamic efficiency in Autonomous Underwater Vehicles (AUVs) utilizing adjoint method and proper orthogonal decomposition. by Shorob Alam Bhuiyan, Md Jahid Hasan, Md Araful Hoque

“…While there have been notable breakthroughs in applying the adjoint technique to optimize air and land vehicles, there is still a deficiency in optimizing AUVs using the adjoint method. The present research explores how to improve the hydrodynamic efficiency of an AUV using the gradient-based adjoint technique and Proper Orthogonal Decomposition (POD). …”
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A Financial Data Analysis Method Based on Time-Series Generative Adversarial Network and Decomposition Learning by Wei Wang, Bo Li

“…In existing works, deep learning combined with stock price series decomposition is a common architecture. Inspired by this, we propose a financial data analysis method based on time series generative adversarial network (TimeGAN) and decomposition learning. …”
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An optimised scattering power decomposition method oriented to ship detection in polarimetric synthetic aperture radar imagery by Lu Fang, Wenxing Mu, Ning Wang, Tao Liu

“…Abstract This paper describes an optimised scattering power decomposition method suitable for ship detection in polarimetric synthetic aperture radar imagery. …”
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Hydraulic Pump Fault Diagnosis Method Based on EWT Decomposition Denoising and Deep Learning on Cloud Platform by Wanlu Jiang, Zhenbao Li, Sheng Zhang, Teng Wang, Shuqing Zhang

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Mathematical Dynamics of the (SVEITR) Model, the Impact of Treatment and Vaccination on Cholera Spread. by kazeem Abidoye ODEYEMI, Mutairu Kayode Kolawole

“…Through a numerical simulation of Laplace decomposition method the result reveal that treatment rate reduces the emanation of the disease and vaccination plays a vital role in curbing aftermath effect of wide-spread of the disease. …”
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ANALYSIS OF THERMAL DECOMPOSITION KINETICS AND THERMAL HAZARD ASSESSMENT OF NITROBENZOIC ACID ISOMERS BY DSC AND THERMOGRAVIMETRIC METHOD by Xin Yi Li, Zhi Xiang Xing, Ye Cheng Liu, Yang Cheng, An Chi Huang

“…The thermal decomposition mechanism was further explained using density functional theory (DFT) methods, focusing on the Mayer bond order. …”
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Fault tidentification method of outage transmission line based on convolutional neural network and wavelet packet decomposition by WANG Xinming, WANG Xiangyu, JIA Xiaobo, ZHANG Feifei, LI Shaobo, HU Yongqiang

“…For double-circuit transmission lines on the same tower, an outage line fault identification method using spectrum graph generated by wavelet packet decomposition as a convolutional neural network (CNN) input is proposed. …”
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Methods Used in Forensic Linguistic Analysis by O. V. Kukushkina

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Fast computation of electro-thermal coupling field of ± 400 kV converter transformer valve side bushing based on proper orthogonal decomposition method by Zhilin Chu, Qingyu Wang, Huidong Tian, Siyuan Liu, Zhijie Gao, Songbo Tian, Peng Liu, Zongren Peng

“…The paper adopts the finite element method to construct a model for electro-thermal coupling field of the converter transformer valve side bushing. …”
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A spectral analysis of chaotic oscillations in simulation model of Chua’s circuit developed with use of matrix decomposition by A. M. Krot, U. A. Sychou

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Covid-19 pandemic data analysis using tensor methods by Dipak Dulal, Ramin Goudarzi Karim, Carmeliza Navasca

“…In this paper, we use tensor models to analyze the Covid-19 pandemic data. First, we use tensor models, canonical polyadic, and higher-order Tucker decompositions to extract patterns over multiple modes. …”
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The VMD Method in Diagnosis of Stator Fault and Stator Current Signal by SHI Xian jiang, LI Wan tao, GAO Qing kang

“…In order to judge the fault state of rolling bearing better, in this paper, the main fault mechanism and characteristics of the bearing are analyzed by using the stator current analysis method. According to the characteristic of the bearing signal, the VMD decomposition method is proposed to extract some weak fault information in current signals, and the method how to decompose the K numbers are given in the VMD decomposition method Under Matlab/Simulink, a simulation model is established to simulate the stator current transformation under normal and fault conditions It is compared with the signals collected by the simulation platform, and the variational modal decomposition method is used to obtain the envelope spectrum Through the comparative analysis between the theoretical simulation and the experimental environment, it is shown that the VMD method can decompose the fault information of the bearing from the current signal, and it is an effective method to deal with the fault of the rolling bearing…”
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Bearing fault diagnosis method based on SAVMD and CNN by SONG ChunSheng, LIANG YaRu, LU NiFang, DU Gang, JIA Bo

“…The intrinsic mode function (IMF) components were reconstructed by weighted kurtosis evaluation index, put them into convolutional neural network (CNN) model for fault classification. Finally, the proposed method was verified by numerical simulations with the open bearing data of Case Western Reserve University. …”
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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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Electric vehicle charging load prediction method based on multi-objective modal decomposition and NAHL neural network by GUO Xinzhe, WANG Yeqin, WANG Chao, WU Mingjiang, YANG Yan, ZHANG Chu

“…To improve the accuracy of electric vehicle charging load prediction, a prediction method based on multi-objective variational mode decomposition (VMD) and automatic artificial neural network with an augmented hidden layer (NAHL) is proposed. …”
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Forecasting Air Passenger Traffic by Support Vector Machines with Ensemble Empirical Mode Decomposition and Slope-Based Method by Yukun Bao, Tao Xiong, Zhongyi Hu

“…With regard to the nonlinearity and irregularity along with implicit seasonality and trend in the context of air passenger traffic forecasting, this study proposes an ensemble empirical mode decomposition (EEMD) based support vector machines (SVMs) modeling framework incorporating a slope-based method to restrain the end effect issue occurring during the shifting process of EEMD, which is abbreviated as EEMD-Slope-SVMs. …”
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Numerical method for modeling of acoustic waves propagation by Sławomir DYKAS, Włodzimierz WRÓBLEWSKI, Sebastian RULIK, Tadeusz CHMIELNIAK

“…In this paper, numerical results of modeling of acoustic waves propagation are presented. …”
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