Results 11 to 20 of about 38,147 (211)
Rolling Bearing Fault Diagnosis Based on WGWOA-VMD-SVM
Sensors, 2022 A rolling bearing fault diagnosis method based on whale gray wolf optimization algorithm-variational mode decomposition-support vector machine (WGWOA-VMD-SVM) was proposed to solve the unclear fault characterization of rolling bearing vibration signal ...
Maohua Xiao
exaly +4 more sources
A study on VMD(Visual Merchandising) cognition difference of the VMD operation systems
The Korean Society of Costume, 2014 The importance of VMD operation strategies in fashion business is growing, and this study analyzed the difference in consumers` VMD cognition of the two VMD operation systems: VMD specialist employment system and VMD outsourcing system. Two SPA brands were selected as the representative cases of the two VMD operation systems. A statistical analysis was
Minyoung Kim, Jinhwa Lee, Saehee Kim
exaly +3 more sources
A study on rolling bearing fault diagnosis using RIME-VMD
Scientific ReportsTo address the challenges of feature extraction in Variational Mode Decomposition (VMD) for rolling bearing fault diagnosis, this paper proposes a feature extraction method optimized by the RIME algorithm, called RIME-VMD.
Zhenrong Ma, Ying Zhang
exaly +2 more sources
Research on VMD-Based Adaptive TDLAS Signal Denoising Method
Photonics, 2023 We propose an adaptive algorithm that is a Variational Mode Decomposition (VMD) optimized by the particle swarm optimization (PSO) algorithm, named PSO-VMD.
Jiachen Sun, Jun Chang
exaly +2 more sources
Prediction of significant wave height using a VMD-LSTM-rolling model in the South Sea of China
Frontiers in Marine ScienceAccurate prediction of significant wave height is crucial for ocean engineering. Traditional time series prediction models fail to achieve satisfactory results due to the non-stationarity of significant wave height.
Tong Ding +5 more
doaj +2 more sources
GMPSO-VMD Algorithm and Its Application to Rolling Bearing Fault Feature Extraction
Sensors, 2020 The vibration signal of an early rolling bearing is nonstationary and nonlinear, and the fault signal is weak and difficult to extract. To address this problem, this paper proposes a genetic mutation particle swarm optimization variational mode ...
Jiakai Ding, Xuejun Li, Dongming Xiao
exaly +3 more sources
Research on communication emitter identification based on semi-supervised dimensionality reduction in complex electromagnetic environment [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2023 The individual identification of communication emitters is a process of identifying different emitters based on the radio frequency fingerprint features extracted from the received signals. Due to the inherent non-linearity of the emitter power amplifier,
Wei Ge +6 more
doaj +1 more source
Confirmation of the Rabbit Hemorrhagic Disease Virus Type 2 (GI.2) Circulation in North Africa
Acta Veterinaria, 2022 Rabbit hemorrhagic disease (RHD) is a highly contagious viral disease that causes fatal acute hepatitis in domestic and wild lagomorphs. It has taken on major economic importance in countries like Morocco.
Saidi Aissa, Aboutaib Abdelouahed
doaj +1 more source
A noise reduction forecasting method of bus load based on sequence decomposition
Zhejiang dianli, 2023 In the context of new power systems， the diverse distributed power sources and user-side behavior have introduced instability in bus loads， thus presenting a fresh challenge for short-term load forecasting.
YANG Jian +5 more
doaj +1 more source
Journal of Water and Climate Change, 2023 Accurate runoff prediction is of great significance for flood prevention and mitigation, agricultural irrigation, and reservoir scheduling in watersheds. To address the strong non-linear and non-stationary characteristics of runoff series, a hybrid model
Shaolei Guo +3 more
doaj +1 more source