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A Method for System Identification in the Presence of Unknown Harmonic Excitations Based on Operational Modal Analysis
ISSN: 0148-7191, e-ISSN: 2688-3627
Published January 23, 2019 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
Event: Automotive Technical Papers
Operational modal analysis techniques classically have been developed based on the assumption that the input to the system is a stationary white noise. While, in many practical cases, the systems are excited by combination of white noise and colored noises (harmonic excitations). Consequently, in conditions where non-white noises are present, the existing OMA methods cannot completely distinguish between the system poles and the induced poles due to colored noises. In order to overcome this weakness of OMA methods, some researches have been conducted in the field. In this paper, a new method is proposed for identifying the modal parameters of the system under the unknown colored noises, based on the Power Spectral Density Transmissibility (PSDT) function. In this work, the proposed methodology is established upon applying the auxiliary force, which can re-excite the system under operational conditions. In order to identify the modal parameters through the PSDT function, an appropriate parametric identification method such as the Poly-reference Least Squares Complex Frequency-domain method (PLSCF), or Poly-Max method, is utilized. Thus, modal parameters of the system poles are identified using a Stabilization Diagram (SD) by overestimating the system model order. To illustrate the efficiency of the proposed methodology, a four DOF vibrational system is considered as a case study through a computer simulation, and the obtained results are compared and discussed for verification.
CitationKhodaygan, S., "A Method for System Identification in the Presence of Unknown Harmonic Excitations Based on Operational Modal Analysis," SAE Technical Paper 2019-01-5007, 2019, https://doi.org/10.4271/2019-01-5007.
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