Visualizing time-varying power system harmonics using a Morlet wavelet transform approach

2001 ◽  
Vol 58 (2) ◽  
pp. 81-88 ◽  
Author(s):  
Shyh-Jier Huang ◽  
Cheng-Tao Hsieh
Keyword(s):  
Wavelet Transform ◽  
Power System ◽  
Morlet Wavelet ◽  
Time Varying ◽  
Power System Harmonics ◽  
Morlet Wavelet Transform

339 Morlet wavelet transform in EEG during perceptuo-motor tasks

1998 ◽  
Vol 30 (1-2) ◽  
pp. 131-132
Author(s):  
S. Slobounovl ◽  
R. Tutwiler ◽  
E. Slobounova
Keyword(s):  
Wavelet Transform ◽  
Morlet Wavelet ◽  
Motor Tasks ◽  
Morlet Wavelet Transform

scholarly journals A study on Electron Oscillations in the Magnetosheath of Mars with Mars Express observations

2016 ◽  
Vol 12 (S328) ◽  
pp. 230-232
Author(s):  
Adriane M. de Souza ◽  
Ezequiel Echer ◽  
Mauricio J. A. Bolzam ◽  
Markus Fränz
Keyword(s):  
Wavelet Transform ◽  
Electron Density ◽  
Low Frequency ◽  
Morlet Wavelet ◽  
Space Plasmas ◽  
Density Data ◽  
Mars Express ◽  
Preliminary Study ◽  
Morlet Wavelet Transform ◽  
Low Frequency Waves

AbstractWavelet analysis was employed to identify the major frequencies of low-frequency waves present in the Martian magnetosheath. The Morlet wavelet transform was selected and applied to the electron density data, obtained from the Analyzer of Space Plasmas and Energetic Atoms experiment (ASPERA-3), onboard the Mars Express (MEX) spacecraft. We have selected magnetosheath crossings and analyzed electron density data. From a preliminary study of 502 magnetosheath crossings (observed during the year of 2005), we have found 1409 periods between 0.005 and 0.06Hz. The major frequencies observed were in the range 0.005-0.02 Hz with 58.5% of the 1409 frequencies identified.

Bearing Fault Detection Based on Order Tracking and Complex Morlet Wavelet Transform

2011 ◽  
Vol 474-476 ◽  
pp. 639-644 ◽  
Author(s):  
Hui Li
Keyword(s):  
Wavelet Transform ◽  
Morlet Wavelet ◽  
Experimental Result ◽  
Bearing Fault ◽  
Multi Scale ◽  
Order Tracking ◽  
Continuous Complex ◽  
Complex Morlet Wavelet ◽  
Morlet Wavelet Transform ◽  
Envelope Spectrum

A new approach to bearing fault diagnosis under run-up based on order tracking and continuous complex Morlet wavelet transform demodulation technique is presented. The non-stationary vibration signal is first transformed from the time domain transient signal to angle domain stationary one using order tracking technique. Then the continuous complex Morlet wavelet transform is applied to the angle domain re-sampled signal and the complex Morlet wavelet transform based multi-scale envelope spectrum is obtained. The experimental result shows that order tracking and complex Morlet wavelet transform based multi-scale envelope spectrum can effectively diagnosis bearing localized fault.

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