本项目紧密围绕国家海洋强国战略，聚焦大型船舶安全可靠运行与绿色节能发展趋势，旨在突破船舶动力系统故障预测与健康管理的关键科学问题，深入开展船舶动力系统全局状态监测与关键性能指标（KPI）体系、基于物理模型与大数据驱动的船舶动力系统KPI评估与故障预测、船舶动力系统故障诊断与协调控制、面向任务的船舶动力系统健康管理优化设计的研究。通过在船舶动力系统典型退化模式及KPI的映射关系、变工况环境下大数据驱动的船舶动力系统KPI评估与预测模型构建、基于KPI的船舶动力系统在航优化控制与在港维修等关键科学问题上开展理论探索和应用基础研究，为以大型船舶为代表的先进复杂工业系统运行安全控制与自主保障提供理论支撑与技术保证。

Closely around the national maritime power strategy, this project focuses on safe and reliable operation and green energy saving of large vessels. Multi-level set of key performance indicators of large marine power systems are proposed as well as the related modeling, evaluation and prediction methods. More specifically, our main research contents will shed light on: Monitoring the global states of marine power systems and building the key performance indicators (KPIs); Model based/data driven KPI evaluation and fault prognosis of marine power systems; Fault diagnosis and coordinate control of marine power systems; Task-oriented optimization of health management of marine power systems and some industrial applications. With regard to these aspects, the key scientific issues we intend to focus on will be the mapping of typically degraded modes of marine power systems and KPIs, data driven modeling of KPI evaluation and prediction under varying environmental conditions, maintenance decision design of marine power systems based on KPIs. The study will provide the theoretical basis and technical support for the safe operation control and independent security of large vessels as the representative of advanced complex industrial systems.