A weighted bio-signal denoising approach using empirical mode decomposition

2015 ◽  
Vol 5 (2) ◽  
pp. 131-139 ◽  
Author(s):  
Salim Lahmiri ◽  
Mounir Boukadoum
Keyword(s):  
Empirical Mode Decomposition ◽  
Signal Denoising ◽  
Mode Decomposition

A method of eliminating the vibration signal noise of hydropower unit based on NA-MEMD and approximate entropy

2016 ◽  
Vol 231 (2) ◽  
pp. 317-328 ◽  
Author(s):  
Xueli An ◽  
Junjie Yang
Keyword(s):  
Empirical Mode Decomposition ◽  
Real World ◽  
Approximate Entropy ◽  
Vibration Signal ◽  
Signal Denoising ◽  
Intrinsic Mode Functions ◽  
Denoising Method ◽  
Multivariate Empirical Mode Decomposition ◽  
Mode Decomposition ◽  
Simulation Signal

A new vibration signal denoising method of hydropower unit based on noise-assisted multivariate empirical mode decomposition (NA-MEMD) and approximate entropy is proposed. Firstly, the NA-MEMD is used to decompose the signal into a number of intrinsic mode functions. Then, the approximate entropy of each component is computed. According to a preset threshold of approximate entropy, these components are reconstructed to denoise vibration signal of hydropower unit. The analysis results of simulation signal and real-world signal show that the proposed method is adaptive and has a good denoising performance. It is very suitable for online denoising of hydropower unit's vibration signal.

scholarly journals Signal denoising based on empirical mode decomposition

2017 ◽  
Vol 19 (7) ◽  
pp. 5560-5570 ◽  
Author(s):  
Dmitry Klionskiy ◽  
Mikhail Kupriyanov ◽  
Dmitry Kaplun
Keyword(s):  
Empirical Mode Decomposition ◽  
Signal Denoising ◽  
Mode Decomposition
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