This paper presents a modal indicator for use in OMA identification techniques relying on the correlation function for extraction of parameters. We propose to add small amounts of artificial white Gaussian noise to the correlation function and measuring the sensitivity of the identified modes to this noise. The idea is to identify system parameters many times, each time adding a tiny amount of uncorrelated white Gaussian noise to the correlation function. Since the noise modes are more affected by the adding of tiny amounts of additional noise, than the physical modes, the variance of the estimated parameters gives an effective modal indicator.
|Title of host publication||IOMAC 2017 - 7th International Operational Modal Analysis Conference|
|Publication status||Published - 2017|
|Event||7th International Operational Modal Analysis Conference - Ingolstadt, Germany|
Duration: 10 May 2017 → 12 May 2017
Conference number: 7
|Conference||7th International Operational Modal Analysis Conference|
|Period||10/05/2017 → 12/05/2017|