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首页> 外文会议>International Conference on Opto-Electronics Engineering and Materials Research >Spacecraft Fault Diagnosis Based on Telemetry Data Mining and Fault Tree Analysis and Design of Expert System
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Spacecraft Fault Diagnosis Based on Telemetry Data Mining and Fault Tree Analysis and Design of Expert System

机译：基于遥测数据挖掘和故障树分析和专家系统的故障树分析和设计的航天器故障诊断

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摘要

In this paper, a fault diagnosis method for spacecraft based on telemetry data mining and fault tree analysis was proposed. Decision trees are constructed from the history telemetry data of the spacecraft, and are used to classify the current data which is unknown whether it is fault. If there is a fault, the fault tree method will be used to analyze the fault reason and the impact on the spacecraft system. This method can effectively solve the problem of diagnostic knowledge acquisition. We design and construct a fault diagnosis expert system for spacecraft based on this diagnosis method. An experiment is presented to prove the effectiveness and practicality of the expert system.
机译：本文提出了一种基于遥测数据挖掘和故障树分析的航天器故障诊断方法。决策树由航天器的历史遥测数据构建，并用于对当前数据进行分类，这是故障的未知。如果存在故障，则将用于分析故障原因和对航天器系统的影响。这种方法可以有效解决诊断知识获取问题。我们基于该诊断方法设计和构建航天器故障诊断专家系统。提出了一个实验，以证明专家系统的有效性和实用性。

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