Results 301 to 310 of about 338,685 (349)

A Fast and Adaptive Empirical Mode Decomposition Method and Its Application in Rolling Bearing Fault Diagnosis

IEEE Sensors Journal, 2023
Although the ensemble empirical mode decomposition (EEMD) method and the complementary EEMD (CEEMD) method can greatly improve the mode mixing of the original empirical mode decomposition (EMD) method, the difference in white noise amplitude and the ...
Yun Li, Jiwen Zhou, Hongguang Li, G. Meng, Jie Bian   +4 more
semanticscholar   +1 more source

Ensemble Median Empirical Mode Decomposition for Emotion Recognition Using EEG Signal

IEEE Sensors Letters, 2023
This letter investigates ensemble median empirical mode decomposition (MEEMD), an extension model of ensemble empirical mode decomposition, and its improved characteristics for emotion recognition.
Priyadarsini Samal, Mohammad Farukh Hashmi   +1 more
semanticscholar   +1 more source

Seizure Onset Detection Using Empirical Mode Decomposition and Common Spatial Pattern

IEEE transactions on neural systems and rehabilitation engineering, 2021
Automatic seizure onset detection plays an important role in epilepsy diagnosis. In this paper, a novel seizure onset detection method is proposed by combining empirical mode decomposition (EMD) of long-term scalp electroencephalogram (EEG) with common ...
Chaosong Li, Weidong Zhou, Guoyang Liu, Yanli Zhang, Minxing Geng, Zhen Liu, Shang Wang, Wei Shang   +7 more
semanticscholar   +1 more source

Structural damage detection method based on the complete ensemble empirical mode decomposition with adaptive noise: a model steel truss bridge case study

Structural Health Monitoring, 2021
Signal processing is one of the essential components in vibration-based approaches and damage detection for structural health monitoring. Since signals in the real world are often nonlinear and non-stationary, especially in extended and complex ...
A. Mousavi, Chunwei Zhang, S. Masri, Gholamreza Gholipour   +3 more
semanticscholar   +1 more source

Remaining Useful Life Prediction of Lithium-Ion Batteries Based on a Mixture of Ensemble Empirical Mode Decomposition and GWO-SVR Model

IEEE Transactions on Instrumentation and Measurement, 2021
The remaining useful life (RUL) prediction of lithium-ion batteries (LIBs) plays a vital role in their prognostics and health management (PHM). A battery degradation model is of great significance to maintain and replace the batteries avoiding the ...
Zhanshe Yang, Yunhao Wang, Chenzai Kong
semanticscholar   +1 more source

Empirical mode decomposition and its variants: a review with applications in structural health monitoring

Smart materials and structures (Print), 2020
Structural health monitoring (SHM) is one of the most emerging approaches for early damage detection, which leads to improved safety and efficient maintenance of large-scale civil structures.
Mohamed Barbosh, Premjeet Singh, A. Sadhu   +2 more
semanticscholar   +1 more source

An Improved Method for Pipeline Leakage Localization With a Single Sensor Based on Modal Acoustic Emission and Empirical Mode Decomposition With Hilbert Transform

IEEE Sensors Journal, 2020
Due to its great convenience for inspection of pipelines under special conditions, leakage localization with a single acoustic emission (AE) sensor has attracted increasing attention.
Changhang Xu, Shasha Du, Piao Gong, Zhenxing Li, Guoming Chen, G. Song   +5 more
semanticscholar   +1 more source

A hybrid method coupling empirical mode decomposition and a long short-term memory network to predict missing measured signal data of SHM systems

, 2020
Missing data, especially a block of missing data, inevitably occur in structural health monitoring systems. Because of their severe negative effects, many methods that use measured data to infer missing data have been proposed in previous research to ...
Linchao Li, Haijun Zhou, Hanlin Liu, Chaodong Zhang, Junhui Liu   +4 more
semanticscholar   +1 more source

Detection and Experimental Validation of High Impedance Arc Fault in Distribution System Using Empirical Mode Decomposition

IEEE Systems Journal, 2020
The effect of high impedance faults (HIFs) in a distribution system has an effect on the system stability and reliability. The high impedance arc fault (HIAF) even poses a significant threat to the living being as it involves arcing.
Himadri Lala, S. Karmakar
semanticscholar   +1 more source

Remaining useful life and state of health prediction for lithium batteries based on empirical mode decomposition and a long and short memory neural network

, 2021
Gong Cheng, Xinzhi Wang, Yurong He
semanticscholar   +1 more source