Multiway principal component analysis contributions for structural damage localization

Magda Ruiz, Luis Eduardo Mujica, Julián Sierra, Francesc Pozo, José Rodellar

    Research output: Contribution to journalArticle in an indexed scientific journalpeer-review

    15 Scopus citations

    Abstract

    In this article, a novel methodology for damage localization is introduced. The approach is based on a multiactuator system. This means that the system itself has the ability of both exciting the specimen and measuring its response at different points in a pitch-catch mode. Once one of its actuators excites the specimen, the damage affects the normal travel of the guided wave, and this change is mainly detected by sensors in the direct route to the excitation point. In previous works by the authors, it can be observed that the progression using data-driven statistical models (multivariable analysis based on principal component analysis) of all recorded signals to determine whether the damage is present. However, the main contribution of this article is the demonstration of the possibility of localizing damages by analyzing the contribution of each sensor to this index which have detected it (T2-statistic and Q-statistic). The proposed methodology has been applied and validated on an aircraft turbine blade. The results indicate that the presented methodology is able to accurately locate damages, analyzing the record signals from all actuation phases and giving a unique and reliable region.

    Original languageEnglish
    Pages (from-to)1151-1165
    Number of pages15
    JournalStructural Health Monitoring
    Volume17
    Issue number5
    DOIs
    StatePublished - 1 Sep 2018

    Bibliographical note

    Publisher Copyright:
    © The Author(s) 2017.

    Keywords

    • Principal component analysis
    • contribution analysis
    • damage localization

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