Recently, a new non-iterative parameter estimation method was proposed. This so-called PolyMAX method is based on a least-squares approach and uses multiple-input-multiple-output frequency response functions as primary data. The PolyMAX polyreference frequency-domain method can be implemented in a very similar way as the industry standard polyreference (time-domain) LSCE method: in a first step a stabilisation diagram is constructed containing frequency, damping and participation information. Next, the mode shapes are found in a second least-square step, based on the user selection of stable poles. One of the specific advantages of the technique lies in the very stable identification of the system poles and participation factors as a function of the specified system order, leading to easy-to-interpret stabilisation diagrams. This implies a potential for automating the method and to apply it to difficult estimation cases such as high-order and/or highly damped systems with large modal overlap. Several challenging real-life automotive and aerospace case studies are discussed in this paper. The new PolyMAX method will be compared with classical methods concerning stability, accuracy of the estimated modal Parameters and quality of the frequency response function synthesis.


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    Title :

    PolyMAX modal parameter estimation. Challenging automotive and aerospace applications


    Contributors:


    Publication date :

    2004


    Size :

    13 Seiten, 7 Bilder, 1 Tabelle, 15 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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