William A. Fladung

ATA Engineering (United States)

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A. W. Phillips

University of Cincinnati

David L. Brown

University of Michigan–Ann Arbor

Randall J. Allemang

University of Cincinnati

Alexander W. Chin

Langley Research Center

David Cloutier

University of Notre Dame

Robert Rost

Trent University

Natalie Spivey

Armstrong Flight Research Center

Claudia Herrera

Armstrong Flight Research Center

N.C. Olsen

Kevin Napolitano

ATA Engineering (United States)

Cooperative Institutions

ATA Engineering (United States)

University of Cincinnati

Armstrong Flight Research Center

Edwards Air Force Base

California Polytechnic State University

Oak Ridge National Laboratory

Purdue University West Lafayette

Applied Sciences (United States)

Dynamic Systems (United States)

Langley Research Center

Author Statistics

Papers

Citation

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Application of a generalized residual model to frequency domain modal parameter estimation

Journal of Sound and Vibration (2003)

William A. Fladung A. W. Phillips Randall J. Allemang

10.1016/s0022-460x(03)00117-2

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Citations (13)

An Improved Implementation of the Orthogonal Polynomial Modal Parameter Estimation Algorithm Using the Orthogonal Complement

Conference proceedings of the Society for Experimental Mechanics (2015)

William A. Fladung Håvard Vold

Complement

10.1007/978-3-319-15251-6_16

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Citations (6)

The Development of an Enhanced Mode Indicator Function Parameter Estimation Algorithm

Volume 7A: 17th Biennial Conference on Mechanical Vibration and Noise (1997)

William A. Fladung A. W. Phillips David L. Brown

Abstract The renewed interest in Multiple Reference Impact Testing has triggered the development of an Enhanced Complex Mode Indicator Function (EMIF) parameter estimation procedure. The EMIF method is a multiple degree of freedom extension of the Complex Mode Indicator Function (CMIF) method which is a simple but popular multiple reference parameter estimation procedure. The CMIF procedure uses a Enhanced Frequency Response Function (EFRF) which for many multiple reference systems looks like a single degree of freedom system over a narrow frequency band around a selected system eigenvalue. A single degree of freedom algorithm is used to obtain the system eigenvalue at the enhanced frequency. The EMIF method has been developed to handle those cases where the Single degree of freedom method is not valid.

Mode (computer interface)

Degree (music)

10.1115/detc97/vib-4261

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Citations (4)

Extraction of Fixed-Base Modes of a Structure Mounted on a Shake Table

Conference proceedings of the Society for Experimental Mechanics (2013)

Kevin Napolitano Nathanael C. Yoder William A. Fladung

Earthquake shaking table

Base (topology)

Table (database)

Shake

10.1007/978-1-4614-6540-9_24

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Citations (13)

Cause and Effect of Applying the Exponential Window to an Impact Force Signal

William A. Fladung Robert Rost

When measuring frequency responreJio~~fionr with impact resting. it is o common practice to apply a force window to the impact time signal and an exponential window to the response time sign& In this paper, the cause and effect of also applying the exponential window to the force signal ore investigated. The shiji proper@ of the Laplace tranrfonn governs the effects rhoI the exponential window hoe on the measurements and oeserts that the exponential window must nlro be applied to the force signal, in addition fo o force window, for correct frequency response funcfion meosw-emenfs. The behavior of exponentially windowing on impnct time signal is explored by considering the Loplace transform of LI pulse function. Procticol considerations of impact testing windowing and prerriggering ore discussed and o single degree offieedom system simulation serves IO illustrore the resuks on frequency response measurements.

SIGNAL (programming language)

Window function

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Citations (2)

Automotive applications of the Enhanced Mode Indicator Function parameter estimation method

Proceedings of the 16th International Modal Analysis Conference (1998)

Shumin Li William A. Fladung A. W. Phillips David L. Brown

The Enhanced Mode Indicator Function (EMIF) was recently developed for estimating modal parameters from multiple reference test data. This method is well suited for handling data with high modal coupling. One of its chief advantages when processing heavily coupled data is that it eliminates the sorting of computational modes during the parameter estimation process. In this paper the EMIF method and an improved version of the Complex Mode Indicator Function (CMIF) algorithm are applied to automotive data which has historically been difficult to process due to high modal coupling, inconsistencies and nonlinearities. An analytical model, a standard laboratory test specimen and two automotive examples are also used to demonstrate applications of the CMIF-EMIF methods.

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Citations (5)

Implementation of an SDOF Parameter Estimation Method with Generalized Residuals

Conference proceedings of the Society for Experimental Mechanics (2012)

William A. Fladung

10.1007/978-1-4614-2425-3_10

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Citations (3)

APPLICATION AND CORRECTION OF THE EXPONENTIAL WINDOW FOR FREQUENCY RESPONSE FUNCTIONS

Mechanical Systems and Signal Processing (1997)

William A. Fladung Robert Rost

Window function

SIGNAL (programming language)

Exponential decay

Time constant

Spectral leakage

10.1006/mssp.1996.0084

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Citations (47)

Tips, Tricks, and Obscure Features for Modal Signal Processing

Conference proceedings of the Society for Experimental Mechanics (2024)

William A. Fladung Kevin Napolitano

SIGNAL (programming language)

10.1007/978-3-031-68901-7_2

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Citations (0)

The Integration of VXI Data Acquisition into MATLAB

Proceedings of the 16th International Modal Analysis Conference (1998)

William A. Fladung A. W. Phillips David L. Brown N.C. Olsen Roy Lurie

This paper describes the integration of VXI data acquisition into MATLAB®, which has applications in education, research and industry. VXI is a non-proprietary standard for instrumentation quality data acquisition hardware and MATLAB is a high-level programming environment. MATLAB is linked to the VXI hardware through a plug&play library, and data is read directly into MATLAB for numerical computations. With the MATLAB/VXI interface, a multi-channel dynamic signal analyzer or application specific measurement software can be developed. The proof of concept is demonstrated with a multiple reference impact testing application.

Interface (matter)

Plug and play

Instrumentation

Virtual instrumentation

Source

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Citations (2)