Bayesian Inverse Problems

5

Sparse Bayesian Learning and its Application in Bayesian System Identification

 

Yong Huang^1,* and James L. Beck²

¹ Harbin Institute of Technology (China).

² California Institute of Technology (USA).

* Corresponding author: [e-mail]

 

5.1 Introduction

In this chapter, a hierarchical sparse Bayesian learning (SBL) methodology is presented to perform sparse stiffness change inference for system identification and damage assessment purposes, based on the identified modal parameters from motion sensor data. The method aims to treat the inherent difficulties in model-based damage identification approaches, which involve comparing structural models identified from sets of measured modal data (natural frequencies and mode shapes) ...