基于CBR和FTA的地面站接收系统故障诊断方法
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国家自然科学基金资助项目(61501513)

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Ground station receiving system fault diagnosis method based on CBR and FTA
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    摘要:

    针对卫星地面站接收系统中基于案例推理(CBR)中案例库不完整和基于故障树分析(FTA)中计算量复杂等问题,提出一种基于CBR和FTA联合故障诊断法。基于二次检索策略进行改进,解决案例推理检索效率慢的问题;对于案例库中检索不到的故障,再利用故障树诊断,并将故障树分析处理的成功案例添加到案例库中,不断完善案例库。最后,结合卫星地面站本振设备故障诊断的实例应用,正确诊断出案例库中之前不存在的故障,并且增加案例库中案例数目,提升之后检索的效率。

    Abstract:

    The satellite ground station receiving system is based on the incomplete case library in Case-Based Reasoning(CBR). The computation based on Fault Tree Analysis(FTA) is complex. A joint fault diagnosis method based on CBR and FTA is proposed. Firstly,an improved method based on quadratic retrieval strategy is proposed to solve the problem of low retrieval efficiency. Then,re-use the fault tree diagnosis on the fault which cannot be retrieved in the case library,and add the successful cases of fault tree analysis and processing to the case library and continuously improve the case library. Finally,based on the practical application of fault diagnosis of local oscillator equipment in satellite terrestrial stations,the fault which was not included in the case library is correctly diagnosed and the number of cases in the case library is increased, the retrieval efficiency is improved. The effectiveness of the proposed method is verified.

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陈 丹,胡 涛,王建涛,蒋 腾.基于CBR和FTA的地面站接收系统故障诊断方法[J].太赫兹科学与电子信息学报,2019,17(2):227~233

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  • 收稿日期:2017-12-18
  • 最后修改日期:2018-12-13
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  • 在线发布日期: 2019-04-30
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