Multi-Resolution Processing for Random Vibration Control

A. M. Karshenas; M. W. Dunnigan; B. W. Williams; J. K. Goodfollow

Multi-Resolution Processing for Random Vibration Control

A. M. Karshenas
, M. W. Dunnigan
, B. W. Williams
, J. K. Goodfollow

School of Engineering & Physical Sciences

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

4 Citations (Scopus)

Abstract

A typical vibration rest for a specimen is to subject it to a specific spectrum of random vibration. This paper proposes multi-resolution processing using a "frequencv domain self-tuning" algorithm for application to random vibration control. MATLAB programs simulate two-octave-band and three-octave-band processing for random vibration control. A PC-based, digital signal processing (DSP) board was used to implement wo-octave processing. The simulation and practical results are presented.

Original language	English
Pages (from-to)	35-40
Number of pages	6
Journal	Journal of the IEST
Volume	40
Issue number	1
Publication status	Published - Jan 1997

Keywords

Frequency domain self-tuning
Multi-resolution analysis
Random vibration control
Shaker

Cite this

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title = "Multi-Resolution Processing for Random Vibration Control",

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keywords = "Frequency domain self-tuning, Multi-resolution analysis, Random vibration control, Shaker",

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year = "1997",

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AU - Dunnigan, M. W.

AU - Williams, B. W.

AU - Goodfollow, J. K.

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N2 - A typical vibration rest for a specimen is to subject it to a specific spectrum of random vibration. This paper proposes multi-resolution processing using a "frequencv domain self-tuning" algorithm for application to random vibration control. MATLAB programs simulate two-octave-band and three-octave-band processing for random vibration control. A PC-based, digital signal processing (DSP) board was used to implement wo-octave processing. The simulation and practical results are presented.

AB - A typical vibration rest for a specimen is to subject it to a specific spectrum of random vibration. This paper proposes multi-resolution processing using a "frequencv domain self-tuning" algorithm for application to random vibration control. MATLAB programs simulate two-octave-band and three-octave-band processing for random vibration control. A PC-based, digital signal processing (DSP) board was used to implement wo-octave processing. The simulation and practical results are presented.

KW - Frequency domain self-tuning

KW - Multi-resolution analysis

KW - Random vibration control

KW - Shaker

UR - https://www.scopus.com/pages/publications/0030642833

M3 - Article

SN - 1557-735X

VL - 40

SP - 35

EP - 40

JO - Journal of the IEST

JF - Journal of the IEST

IS - 1

ER -

Multi-Resolution Processing for Random Vibration Control

Abstract

Keywords

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