National Ict Australia Limited

Zhidong Li

Fang Chen

Yang Wang

Matt Zhang

The present invention generally relates to failure prediction of an infrastructure (). A failure likelihood for one or more components of an infrastructure () is determined. History data () representing prior failures of the components of the infrastructure () is applied (-) to a Bayesian nonparametric statistical model using a beta process. Then the failure likelihood of one or more components of the infrastructure from the Bayesian nonparametric statistical model is estimated (). Aspects of the invention include computer-implemented methods (), software and computer systems ().

Bayesian nonparametric method for infrastructure failure prediction

The disclosure relates to structural health monitoring (SHM). In particular determining a health condition of a structure, such as a bridge, based on vibration data measured of the bridge. Measured vibration data is calibrated (-). Features are then extracted from the calibrated data (-) and a support vector machine classifier is then applied () to the extracted features to determine () the health condition of a part of the structure. Training of the support vector machine classifier by a machine learning process () is also described.

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Eveleigh, Australia

Zhidong Li