AI Assisted Probabilistic Structural Health Monitoring with Uncertain Data

本研究旨在发展一种先进的人工智能辅助概率结构健康监测方法。所开发的方法应用了新的深度学习技术，从不确定和复杂的环境中测量了大量数据，用于可靠的结构状态监测和性能预测。该项目期望在数据挖掘和解释方面做出一步改变。该项目的预期成果包括新的人工智能辅助方法，以进行具有敏感特征的概率结构状态监测和未来结构性能预测。这将为基础设施资产所有者提供显著的好处，以降低维护成本。

This project aims to develop an advanced Artificial Intelligence (AI) assisted probabilistic structural health monitoring approach for civil engineering structures. The developed approach applies novel deep learning techniques with a large amount of data measured from uncertain and complex environment, for reliable structural condition monitoring and performance prediction. This project expects to make a step change in data mining and interpretation. Expected outcomes of the project include novel AI assisted approaches to conduct probabilistic structural condition monitoring with sensitive features and future structural performance prediction. This will provide significant benefits to infrastructure asset owners to reduce maintenance costs.