Wavelet power spectrum smoothing for random vibration control

A M Karshenas; Mathew Walter Dunnigan; Barry Wayne Williams

doi:10.1109/41.753786

Wavelet power spectrum smoothing for random vibration control

A M Karshenas, Mathew Walter Dunnigan, Barry Wayne Williams

School of Engineering & Physical Sciences

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

Abstract

This letter 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.

Original language	English
Pages (from-to)	466-467
Number of pages	2
Journal	IEEE Transactions on Industrial Electronics
Volume	46
Issue number	2
DOIs	https://doi.org/10.1109/41.753786
Publication status	Published - 1999

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title = "Wavelet power spectrum smoothing for random vibration control",

abstract = "This letter 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.",

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Wavelet power spectrum smoothing for random vibration control

Abstract

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