A novel intelligent prognostics platform for complex cyberphysical systems

本项目旨在开发一种新的数据驱动的动态可靠性评估平台，以提高复杂网络物理系统（cps）的预测性维护能力。这将通过识别哪些降级机制可能导致即将发生的故障，然后突出显示要触发维护服务或控制操作的事件来实现。预期的结果是利用故障预测和预测信息维护/控制所需的新方法和工具，以使cps在减少冗余水平的情况下具有弹性。这项研究将在延长复杂cps核心部件的寿命和耐用性方面取得重大进展，为澳大利亚工业带来经济效益。

This project aims to develop a novel data-driven dynamic reliability assessment platform to improve predictive maintenance ability in complex cyberphysical systems (CPSs). This will be achieved by identifying which degradation mechanism(s) are likely to cause an impending failure, and then highlighting the event to trigger for maintenance service or control operation. The expected outcomes are new methods and tools needed to leverage failure prognostics and prognostics-informed maintenance/control for making CPSs resilient with reduced levels of redundancy. This research will produce major advancements in extending core components’ life and durability in complex CPSs, bringing economic benefit for Australia industry.