Currently, most sensor placement methodologies are focused on maximizing the controllability and observability of the monitored structure. Recently, there have been several sensor placement techniques proposed for damage detection. The work herein provides an integrated sensor placement and reduced-order health assessment approach that can be applied to both linear and nonlinear structures. The method uses the idea that damageable regions (hot spots) of the system are often known in advance and, therefore, the modes that are sensitive to changes in these hot spots should be the ones exploited for damage detection. Generally, sensors are placed near the hot spots. However, if that is not possible or additional sensors are being used, then a generalized effective independence distribution vector method is applied for the remaining sensors. The partial eigenvector information obtained from measurements is expanded to the full (model) space using the knowledge that damage is limited to the hot spots of the system. Modalbased damage detection methods, such as minimum rank perturbation theory, can then be used to solve for the damage. Alternatively, damage identification by hot spot projection is a novel option for damage detection presented herein. Nonlinear systems are handled by forming (higher dimensional) augmented linear systems that follow the same trajectory of the nonlinear system when projected onto the physical (lower dimensional) space. The sensor placement methodology for nonlinear systems is similar, but it requires that sensors be placed at the location of all nonlinearities as well as the hot spots. Damage can be detected using the multiple augmentations generalized minimum rank perturbation theory, previously developed by the authors, or by damage identification by hot spot projection. Numerical simulations of the methodology are presented for linear and nonlinear five-bay frame structures.


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    Title :

    Sensor placement for damage detection in nonlinear systems using system augmentations


    Additional title:

    Sensorpositionierung zum Schädigungsnachweis in nichtlinearen Systemen mit Hilfe von Systemergänzungen


    Contributors:

    Published in:

    AIAA Journal ; 46 , 10 ; 2434-2442


    Publication date :

    2008


    Size :

    9 Seiten, 11 Bilder, 24 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English