Bayesian operational modal analysis: Difference between revisions

Revision as of 17:34, 23 December 2013

Revision as of 17:38, 23 December 2013

Line 2:

==Pros and Cons==

In the absence of (input) loading information, the identified modal properties from OMA often have significantly larger uncertainty (or variability) than their counterparts identified using free vibration or forced vibration (known input) tests. Regardless of whether the identification uncertainty has been acknowledged or not, it is always there. Ignoring this fact in the interpretation or presentation of identification results can lead to misrepresentation or over-confidence.

A [[Bayesian inference|Bayesian]] [[system identification]] approach is relevant for OMA as it provides a fundamental means for processing the information in the ambient vibration data for making inference on the modal properties in a manner consistent with [[probability]] logic and modeling assumptions. In addition to the most probable value, the identification uncertainty of the modal parameters can also be rigourously quantified and calculated.