Damage Identification with Linear Discriminant Operators

  title={Damage Identification with Linear Discriminant Operators},
  author={Charles R. Farrar and David A. Nix and Thomas A. Duffey and Phillip J. Cornwell and Gerard C. Pardoen},
This paper explores the application of statistical pattern recognition and machine learning techniques to vibrationbased damage detection. First, the damage detection process is described in terms of a problem in statistical pattern recognition. Next, a specific example of a statistical-pattern-recognition-based damage detection process using a linear discriminant operator, “Fisher’s Discriminant”, is applied to the problem of identifying structural damage in a physical system. Accelerometer… CONTINUE READING
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