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Topics in Modal Analysis, Volume 7 pp 325–332Cite as

Linear Projection Techniques in Damage Detection Under a Changing Environment

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Abstract

The merit of linear projections as a way to improve the resolution in damage detection under changing environmental conditions is examined. It is contended that if the data from the reference condition is balanced, in the sense that the number of feature vectors available for the various temperatures is similar, then projections, such as those in Principal Component Analysis and Factor Analysis, will not improve performance. Projections, however, help to control the false positive rate when the reference data set is not balanced. Analysis and simulation results suggest that previous claims on the merit of projection as a way to improve damage detection resolution under environmental variability may be too optimistic.

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Acknowledgements

This research was supported by NSF grant 1000391 under the Hazard Mitigation and Structural Engineering Program. This support is gratefully acknowledged.

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Authors and Affiliations

  1. Department of Civil and Environmental Engineering, Center for Digital Signal Processing, Northeastern University, 360 Huntington Ave., Boston, MA, 02115, USA

    Salma Mozaffari Kojidi, Michael Döhler & Dionisio Bernal

  2. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin, 150090, China

    Yang Liu

Authors
  1. Salma Mozaffari Kojidi
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  2. Michael Döhler
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  3. Dionisio Bernal
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  4. Yang Liu
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Corresponding author

Correspondence to Salma Mozaffari Kojidi .

Editor information

Editors and Affiliations

  1. University of Cincinnati, Cincinnati, 45221-0018, Ohio, USA

    Randall Allemang

  2. , The Enterprise Program, Michigan Technological University, Townsend Drive 1400, Houghton, 49931, Mississippi, USA

    James De Clerck

  3. , Dept. of Mechanical Engineering, University of Massachusetts Lowell, Riverside St. 197, Lowell, 01854, Massachusetts, USA

    Christopher Niezrecki

  4. & State University, Department of Mechanical Engineering, Virginia Polytechnic Institute, Randolph Hall 114 T, Blacksburg, 24060, Virginia, USA

    Alfred Wicks

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© 2014 The Society for Experimental Mechanics

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Kojidi, S.M., Döhler, M., Bernal, D., Liu, Y. (2014). Linear Projection Techniques in Damage Detection Under a Changing Environment. In: Allemang, R., De Clerck, J., Niezrecki, C., Wicks, A. (eds) Topics in Modal Analysis, Volume 7. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6585-0_30

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  • DOI: https://doi.org/10.1007/978-1-4614-6585-0_30

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-6584-3

  • Online ISBN: 978-1-4614-6585-0

  • eBook Packages: EngineeringEngineering (R0)

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