Now showing items 1-6 of 6

  • Comparison of two robust PCA methods for damage detection in the presence of outliers 

    Gharibnezhad, Fahit; Mujica Delgado, Luis Eduardo; Rodellar Benedé, José (2011-07-19)
    Article
    Restricted access - publisher's policy
    Statistical methods such as Principal Component Analysis (PCA) are suffering from contaminated data. For instance, variance and covariance as vital parts of PCA method are sensitive to anomalous observation called outliers. ...
  • Damage detection in the presence of outliers based on robust PCA 

    Gharibnezhad, Fahit; Mujica Delgado, Luis Eduardo; Rodellar Benedé, José (2011)
    Conference report
    Open Access
    Identification of outliers in samples from univariate and multivariate populations has received considerable attention over the past few decades. Presence of outliers has undeniable effects on the results of statistical ...
  • Damage detection using Andrew plots 

    Gharibnezhad, Fahit; Mujica Delgado, Luis Eduardo; Rodellar Benedé, José (2011)
    Conference lecture
    Open Access
    In current work, Andrew plot is used as a new index to detect any probable damage in the structure. At the first step, using piezoelectric actuators and sensors, appropriate lamb wave is propagated and received through the ...
  • Damage detection using robust fuzzy principal component analysis 

    Gharibnezhad, Fahit; Mujica Delgado, Luis Eduardo; Rodellar Benedé, José; Fritzen, Claus-Peter (2013)
    Conference report
    Open Access
    In this work Robust Fuzzy Principal Component Analysis (RFPCA) is used and compared with comparing with classical Principal Component Analysis (PCA) to detect and classify damages. It has been proved that the RFPCA method ...
  • Damage detection using robust PCA 

    Gharibnezhad, Fahit; Mujica Delgado, Luis Eduardo; Rodellar Benedé, José (2011-02-01)
    Part of book or chapter of book
    Open Access
  • Robust damage detection in smart structures 

    Gharibnezhad, Fahit (Universitat Politècnica de Catalunya, 2014-04-07)
    Doctoral thesis