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数字孪生支持下软件化雷遥一体设备的故障预测和健康管理框架设计
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Abstract:
针对当前高密度的航天发射任务和新域新质战斗力建设的高要求,传统的故障预测与健康管理已无法满足航天测量设备的维护需求。结合新体制的软件化雷遥一体测量设备的研制,本文提出了数字孪生技术支持下的设备故障预测和健康管理设计框架。通过结合雷遥一体设备的复杂结构组成,梳理出构建其数字孪生体模型的关键细节,分析软件化雷遥一体设备的PHM功能需求,以此提出了五层的数字孪生系统架构,并给出了实现PHM服务的具体运行机制。该设计框架为提高新体制软件化雷遥一体设备的全周期运行的可靠性提供了初步方案,同时也为其他典型的装备维护提供了一定的技术支持和理论参考。
The traditional prognostics and health management can no longer meet the maintenance requirements of space measuring equipment under the high density of space launch missions and the high requirements of new field and quality combat capability construction. In combination with the development of a new system of software-based radar & telemetry integrated equipment, this paper proposes a design framework of equipment prognostics and health management supported by digital twin technology. By combining the complex structural composition of the radar & telemetry integrated equipment, the key details of constructing its digital twin model are carded out, and the PHM functional requirements of the software-based radar & telemetry integrated equipment are analyzed. Based on this, a five-layer digital twin system architecture is proposed, and the specific operation mechanism for implementing PHM services is provided. The design framework provides a preliminary scheme to improve the reliability of the whole cycle operation of the new system of software-based radar & telemetry integrated equipment, and also provides some technical support and theoretical reference for other typical equipment maintenance.
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