Browsing by Author "Gharibnezhad, Fahit"

Now showing items 1-7 of 7

    • 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. ...

    • Considering temperature effect on robust principal component analysis orthogonal distance as a damage detector 

      Mujica Delgado, Luis Eduardo; Gharibnezhad, Fahit; Rodellar Benedé, José; Todd, Michael (2019-01-01)
      Article
      Open Access
      In previous works, the authors have shown the feasibility of using classical and robust principal component analysis for damage detection on structures when ultrasonic guided waves are used. It has also been demonstrated ...

    • 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
      Open Access
      This thesis is devoted to present some novel techniques in Structural Health Monitoring (SHM). SHM is a developing field that tries to monitor structures to make sure that they remain in their desired condition to avoid ...