Removing unwanted noise from operational modal analysis data

William Kris Bonness, David Marion Jenkins, Jr.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Scopus citations

    Abstract

    Operational modal analysis data includes the measurement of dynamic signals such as structural vibration data and the corresponding excitation force or pressure. In addition to the desired information, measured structural vibration data can include unwanted electrical noise and vibration energy from adjacent structures. Measured dynamic pressures can contain unwanted signals such as acoustic and vibration induced pressures. In this paper, a noise removal technique is presented in which an unlimited number of unwanted correlated signals can be removed from a set of measured data. In its simplest form, this technique is related to coherent output power (COP). However, unlike COP noise removal, multiple signals can be removed from measured data while retaining the magnitude and phase of the original data required for modal analysis processing. This technique is demonstrated using vibration data and dynamic wall pressure measurements from a thin-walled aluminum cylinder filled with water flowing at 20 ft/s.

    Original languageEnglish (US)
    Title of host publicationTopics in Modal Analysis - Proceedings of the 33rd IMAC, a Conference and Exposition on Structural Dynamics, 2015
    EditorsMichael Mains
    PublisherSpringer New York LLC
    Pages115-122
    Number of pages8
    Volume10
    ISBN (Print)9783319152509
    DOIs
    StatePublished - Jan 1 2015
    Event33rd IMAC Conference and Exposition on Structural Dynamics, 2015 - Orlando, United States
    Duration: Feb 2 2015Feb 5 2015

    Other

    Other33rd IMAC Conference and Exposition on Structural Dynamics, 2015
    Country/TerritoryUnited States
    CityOrlando
    Period2/2/152/5/15

    All Science Journal Classification (ASJC) codes

    • General Engineering
    • Computational Mechanics
    • Mechanical Engineering

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