Results 61 to 70 of about 8,950,043 (334)

Empirical Mode Decomposition Aided by Adaptive Low Pass Filtering [PDF]

, 2012
Empirical Mode Decomposition (EMD) is an adaptive signal analysis technique which derives its basis functions from the signal itself. EMD is realized through successive iterations of a sifting process requiring local mean computation.
Arıkan, Orhan, A. Enis Cetin, Cetin, A. Enis, Orhan Arikan, Onur Ozturk, Arikan ,Orhan, Ozturk, Onur   +6 more
core   +1 more source

A fault diagnosis method for coal mine machinery bearing

Gong-kuang zidonghua, 2019
Aiming at the problem that existing adaptive diagnosis methods of coal mine machinery bearing fault were susceptible to the interference of high frequency noise and intermittent noise, which led to the low accuracy of original signal decomposition and ...
XU Qingqing, ZHAO Haifang, LI Shouju
doaj   +1 more source

Parameter-Adaptive TVF-EMD Feature Extraction Method Based on Improved GOA

Sensors, 2022
In order to separate the sub-signals and extract the feature frequency in the signal accurately, we proposed a parameter-adaptive time-varying filtering empirical mode decomposition (TVF-EMD) feature extraction method based on the improved grasshopper ...
Chengjiang Zhou, Zenghui Xiong, Haicheng Bai, Ling Xing, Yunhua Jia, Xuyi Yuan   +5 more
doaj   +1 more source

Review of Signal Decomposition Theory and Its Applications in Machine Fault Diagnosis

Journal of Mechanical Engineering, 2020
： Major equipment manufacturing industry is the pillar of national economy and is also the strategic industry related to the national security. The operation safety of major equipment has always been the focus of public attention.
Shiqiang Chen, Zhike Peng, Peng Zhou
semanticscholar   +1 more source

A Novel Adaptive Mode Decomposition Method Based on Reassignment Vector and Its Application to Fault Diagnosis of Rolling Bearing

Applied Sciences, 2020
To solve the problem that the random distribution of noise in the time-frequency (TF) plane largely affects the readability of TF representations, a novel signal adaptive decomposition algorithm processed in TF domain, which provides adequate information
Cancan Yi, Xing Wang, Yajun Zhu, Wei Ke
doaj   +1 more source

Discussion of the Influence of Multiscale PCA Denoising Methods with Three Different Features

Sensors, 2022
Bioinformation is information generated from biological movement. By using a variety of modern technologies, we can use this information to form a meaningful model for researchers to study.
Chizhou Zhang, Tao Sun
doaj   +1 more source

Runoff prediction using combined machine learning models and signal decomposition

Journal of Water and Climate Change
Accurate forecasting of increasingly unpredictable river runoff is essential for effective water resource management in the face of climate change and human activities.
Xiaoli Zhang, Ruoyu Wang, Wenchuan Wang, Q. Zheng, R. Ma, Rong Tang, Yuntao Wang   +6 more
semanticscholar   +1 more source

Mutual Interference Mitigation of Millimeter-Wave Radar Based on Variational Mode Decomposition and Signal Reconstruction

, 2023
As an important remote sensing technology, millimeter-wave radar is used for environmental sensing in many fields due to its advantages of all-day, all-weather operation.
Bo Feng, Yanbing Li, Weichuan Zhang, Feng, Bo, Zhang, Weichuan, Li, Yanbing   +5 more
core   +1 more source

Enhanced complete ensemble EMD with superior noise handling capabilities: A robust signal decomposition method for power systems analysis

Engineering Reports
Signal decomposition is crucial in several domains, particularly in the dissection of complex signals present in electrical power systems. Understanding the oscillations and patterns within these signals can significantly influence energy resource ...
Manuel Soto Calvo, Han-Soo Lee
semanticscholar   +1 more source

Decomposition of indwelling EMG signals

Journal of Applied Physiology, 2008
Decomposition of indwelling electromyographic (EMG) signals is challenging in view of the complex and often unpredictable behaviors and interactions of the action potential trains of different motor units that constitute the indwelling EMG signal. These phenomena create a myriad of problem situations that a decomposition technique needs to address to ...
S Hamid, Nawab, Robert P, Wotiz, Carlo J, De Luca   +2 more
openaire   +3 more sources