Title :
Wavelet power spectrum smoothing for random vibration control
Author :
Dunnigan, Matthew W. ; Williams, Barry W.
fDate :
4/1/1999 12:00:00 AM
Abstract :
This paper compares the wavelet power spectrum smoothing method with the Welch method in the random vibration control algorithm of an electrodynamic shaker. Practical results show that the wavelet smoothing method improves the control algorithm performance significantly
Keywords :
control system analysis; smoothing methods; spectral analysis; vibration control; wavelet transforms; Welch method; control algorithm performance; control simulation; electrodynamic shaker; random vibration control algorithm; wavelet power spectrum smoothing method; Digital signal processing; Discrete Fourier transforms; Discrete wavelet transforms; Electrodynamics; Payloads; Power smoothing; Signal processing algorithms; Smoothing methods; Spectral analysis; Vibration control;
Journal_Title :
Industrial Electronics, IEEE Transactions on
