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TECHNICAL PAPERS

Surveillance of Mechanical Systems on the Basis of Vibration Signature Analysis

[+] Author and Article Information
A. W. Smyth

School of Engineering and Applied Science, Columbia University, New York, NY 10027-6699

S. F. Masri

School of Engineering, University of Southern California, Los Angeles, CA 90089-2531

T. K. Caughey

Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125

N. F. Hunter

Analysis and Testing, Los Alamos National Laboratory, Los Alamos, NM 87545

J. Appl. Mech 67(3), 540-551 (May 05, 2000) (12 pages) doi:10.1115/1.1313535 History: Received March 09, 1999; Revised May 05, 2000
Copyright © 2000 by ASME
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References

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Figures

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The first 1000 samples (or 0.122 seconds) for each channel from the “black box” experimental reference data set
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Comparison of scaled estimates of system matrices for reference system—Cases 1 through 4
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Time history comparison of excitation force (solid line), linear least-squares estimated force (dashed line), and the nonlinear residual force (thick line) for Case 1 identification of the reference system
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Time history comparison of the nonlinear residual force (solid line) and the residual force estimate (dashed line), modeled with combinations of x(t),ẋ(t), and ẍ(t) up to third-order powers for the reference system
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Sample identification results for the reference system corresponding to (a) m11; (b) c11; (c) k11. In each plot, the dashed line represents the mean value of the parameter.
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Sample identification results for k11 corresponding to (a) the reference system (system #1); (b) system #2; (c) system #3. In each plot, the dashed line represents the mean value of the parameter.
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Probability densities of stiffness matrix coefficients for 150 statistical averages of the equivalent linear identification of the three different systems. System #1 (solid line), system #2 (dotted line), system #3 (dash-dot line).
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(a) Probability densities of the k11 stiffness coefficient for 150 statistical averages of the equivalent linear identification of the three different systems. Each plot has a superimposed Gaussian distribution. (b) System #1 (thin solid line), system #2 (dotted line), system #3 (thick solid line) comparison.
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(a) Probability densities of the k24 stiffness coefficient for 150 statistical averages of the equivalent linear identification of the three different systems. Each plot has a superimposed Gaussian distribution. (b) System #1 (solid line), system #2 (dotted line), system #3 (dash-dot line) comparison.
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“Black box” experimental mechanical system with single force input and four acceleration outputs

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