Identification of linear systems: a practical guideline to accurate modeling
Identification of linear systems: a practical guideline to accurate modeling
Time Series Analysis: Forecasting and Control
Time Series Analysis: Forecasting and Control
Damage detection method for shear buildings using the changes in the first mode shape slopes
Computers and Structures
A stochastic model updating technique for complex aerospace structures
Finite Elements in Analysis and Design
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Ambient vibration tests have attracted increasing attention over the last few decades because they can be performed economically with the structure under working condition without artificial loading. Ambient modal identification techniques do not require knowledge of the loading but they assume that it is statistically random. A Bayesian approach provides a fundamental means for extracting the information in the data to yield information about the modal parameters consistent with modeling assumptions. Issues do exist in the implementation and interpretation of results. This paper presents an overview of a Bayesian frequency-domain approach for ambient modal identification. Issues of theoretical, computational and practical nature are discussed, drawing experience from field applications.