System identification technique using truncated pseudowavelet transform

Zhikun Hou; Adriana Hera

doi:10.1117/12.436474

21 August 2001 System identification technique using truncated pseudowavelet transform

Zhikun Hou, Adriana Hera

Proceedings Volume 4326, Smart Structures and Materials 2001: Modeling, Signal Processing, and Control in Smart Structures; (2001) https://doi.org/10.1117/12.436474
Event: SPIE's 8th Annual International Symposium on Smart Structures and Materials, 2001, Newport Beach, CA, United States

Abstract

Pseudo-wavelets were proposed for system identification of linear systems to determine their natural frequencies and modal damping ratios. The approach provides excellent results for single-degree-of-freedom (SDOF) oscillators but significant errors might be observed for multiple-degree-of- freedom (MDOF) systems due to interference between different modes if the pseudo-wavelet transform (PWT) is directly applied. IN this paper a truncated pseudo-wavelet transform was employed to improve the accuracy for MDOF systems. A peak of the Fourier amplitude spectrum of the response was located and truncated in its neighborhood to isolate the peak. The frequency amplitude response function of a linear SDOF system was selected as the pseudo-wavelet. A truncated pseudo-wavelet transform was performed and its maximum value was located on a contour map of the PWT coefficients. The associated frequency and bandwidth of the MDOF system may be identified by the matching values of the scale and shift parameters. The methodology is illustrated for linear MDOF systems to identify their system parameters and good estimates were obtained. Noise effects were discussed. The approach can be applied for structural health monitoring. Change in system parameters using any two segments of response data may suggest occurrence of structural damages.

Citation Download Citation

Zhikun Hou and Adriana Hera "System identification technique using truncated pseudowavelet transform", Proc. SPIE 4326, Smart Structures and Materials 2001: Modeling, Signal Processing, and Control in Smart Structures, (21 August 2001); https://doi.org/10.1117/12.436474

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