A novel intelligent prognostics platform for complex cyberphysical systems

该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，然后突出显示事件以触发维护服务或控制操作来实现。预期的结果是新的方法和工具，需要利用故障诊断和故障诊断通知维护/控制，使CPS弹性与冗余水平降低。该研究将在延长复杂CPS核心部件的寿命和耐久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.