Bayesian Damage Classification using AR-ARX Array Expression Data

Bayesian Damage Classification using AR-ARX Array Expression Data

The main purpose of this research is to develop a new structural health monitoring(SHM) system which can provide on-line structural damage warning and protection. This SHM System is composed of the Naïve Bayes Classification and the array expression data, which are transplanted from bio-informatics and information technology. At the end of this report, the feasibility of the proposed SHM system with a dual-mode diagnosis algorithm is proven.