| 摘要: |
| 针对航天器异常检测系统中故障案例作用发挥不明显的问题，基于异常检测规则知识和故障案例，设计了一种关键词提取模式和全新的关联引擎，在航天器异常检测结果和故障案例之间建立了一种快速的关联机制，充分发挥了航天器异常检测系统中关联案例在故障识别、故障定位方面的作用。应用实例表明，该方法具有关联故障案例全面、数据处理运行高效的特点。 |
| 关键词: 航天器异常检测 案例关联 文本相似度 关联引擎 |
| DOI： |
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| 基金项目: |
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| A spacecraft anomaly detection case correlation method |
| LI Hailing,DONG Guangran,DANG Qi |
| (College of Computer Science,Xi′an Aeronautical University,Xi′an 710077,China;Key Laboratory for Fault Diagnosis and Maintenance of Spacecraft in Orbit,Xi′an 710043,China) |
| Abstract: |
| For the inconspicuous effect of fault cases in the spacecraft anomaly detect system,a new mechanism is discussed in which a key word extraction mode and a new associated engine are designed,and fast links between the spacecraft anomaly detection and fault cases are established based on the knowledge of anomaly detect rules and fault cases,so that associated cases are made full uses in fault identification and fault location.The practical experience shows that fault cases are fully associated and run effectively in the application of spacecraft anomaly detect system. |
| Key words: spacecraft anomaly detection case correlation text similarity association engine |
《电讯技术》编辑部 