Results 71 to 80 of about 34,434 (155)

Mixed variational formulations of finite element analysis of elastoacoustic/slosh fluid-structure interaction [PDF]

A general three-field variational principle is obtained for the motion of an acoustic fluid enclosed in a rigid or flexible container by the method of canonical decomposition applied to a modified form of the wave equation in the displacement potential ...
Felippa, Carlos A., Ohayon, Roger
core   +1 more source

Compound Fault Feature Extraction of Gearbox with Improved Dual-tree Complex Wavelet Transform

Jixie chuandong, 2019
For Dual-tree complex wavelet transform decomposition of the number of layers need to be determined prior to and the sub-band after the occurrence of frequency aliasing, an improved dual tree complex wavelet transform is proposed to deal with gearbox ...
Meitao Ye, Huili Chai
doaj  

Multi-Step Natural Gas Load Forecasting Incorporating Data Complexity Analysis with Finite Features

Entropy
Data complexity directly affects the dynamics of complex systems, which in turn influences the accuracy and robustness of forecasting models. However, the load data exhibit complex features such as self-similarity, long-term memory, randomness, and chaos.
Ning Tian, Bilin Shao, Huibin Zeng, Meng Ren, Wei Zhao, Xue Zhao, Shuqiang Wu   +6 more
doaj   +1 more source

Power quality disturbance signal classification in microgrid based on kernel extreme learning machine

Electronics Letters
This paper presents a kernel extreme learning machine (KELM) integrated with the improved whale optimization algorithm (IWOA) to address the power quality disturbance (PQD) issue in microgrids.
Guoxiu Jing, Dengke Wang, Qi Xiao, Qianxiang Shen, Bonan Huang   +4 more
doaj   +1 more source

A parameter adaptive EEFO VMD method to mitigate noise and trend interference of blast vibration signals

Scientific Reports
Blasting vibration signals are often contaminated by trend terms and noise, stemming from environments, and instrument errors. This contamination hinders subsequent signal processing and analysis.
Zhenyang Xu, Zuofu Zhang, Fuqiang Ren, Xuesong Wang, Aobo Liu, Lianjun Guo   +5 more
doaj   +1 more source

Multi-feature stock price prediction by LSTM networks based on VMD and TMFG

Journal of Big Data
The stock market is characterized by its high nonlinearity and complexity, making traditional methods ineffective in capturing its nonlinear features and complex market dynamics.
Zhixin Zhang, Qingyang Liu, Yanrong Hu, Hongjiu Liu   +3 more
doaj   +1 more source

Federated spatial-temporal traffic forecasting with VMD-enhanced graph attention and LSTM. [PDF]

Sci Rep
Mundada T, Ramdhave S, Jain S, Gupta S.
europepmc   +1 more source

Hybrid deep learning and optimized variational mode decomposition for point-interval runoff prediction. [PDF]

PLoS One
Ma H, Fadhil Marsani M, Mansor MA, Mohd Kasihmuddin MS.   +3 more
europepmc   +1 more source

Hybrid multiscale forecasting of SRU sulfur gas concentrations using VMD CEEMDAN and optimized PatchTST. [PDF]

iScience
Sun W, Li L, Lu B, Jiang L, Zhang J.
europepmc   +1 more source

Fault Detection and Isolation of MEMS IMU Array Based on WOA-MVMD-GLT. [PDF]

Micromachines (Basel)
Li H, Sun F, Tian J, He X, Zhu T.
europepmc   +1 more source