空间电源健康状态预测系统设计  

Design of a Health Status Prediction System for Space Power-sources

作　　者：李汶洁[1] 杨保长 陈国铃 LI Wenjie;YANG Baozhang;CHEN Guoling(Shanghai Institute of Space Power-Sources,Shanghai 200245,China)

机构地区：[1]上海空间电源研究所,上海200245

出　　处：《上海航天(中英文)》2025年第2期49-57,共9页Aerospace Shanghai(Chinese&English)

基　　金：上海市科学技术委员会资助项目(22dz1206804)。

摘　　要：面对航天器在轨运行维护与故障保障日趋复杂的新形势,结合空间电源系统在轨维护实践和提高电源系统在轨维护效率的新需求,提出一种电源系统健康状态管理和预测的方法。开展电源系统工作状态建模和关键特征参数趋势分析研究,构建一套空间电源健康状态预测系统。该系统采用数据处理层、系统建模层、数据分析层和应用服务层等4层技术架构,具有遥测数据预处理、系统建模、数据挖掘分析和综合健康状态评估等功能,可对空间电源系统健康状态进行及时、自动、有效的预测和评估。In the face of the increasingly complex new situation of on-orbit operation,maintenance,and fault protection of spacecraft,a method for the health status management and prediction of a power-source system is proposed,in view of the on-orbit maintenance practice of the space power-source system and the new requirements for improving the on-orbit maintenance efficiency of the power-source system.The working state of the power-source system is modeled,the varying trends of the key characteristic parameters are analyzed,and a space power-source health status prediction system is constructed.The system adopts a four-layer technical architecture including the data processing layer,the system modeling layer,the data analysis layer,and the application service layer.It has functions such as telemetry data preprocessing,system modeling,data mining analysis,and comprehensive health status evaluation,and can conduct timely,automatic,and effective monitoring and evaluation for the health status of a space power-source system.

关 键 词：电源系统 健康状态 趋势分析 预测 评估 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]