| 基于分离策略的航天器多故障模式诊断方法 |
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| 引用本文： | 金洋,王日新,徐敏强. 基于分离策略的航天器多故障模式诊断方法[J]. 宇航学报, 2012, 33(6): 698-704. DOI: 10.3873/j.issn.1000-1328.2012.06.003 |
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| 作者姓名： | 金洋 王日新 徐敏强 |
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| 作者单位： | 哈尔滨工业大学深空探测基础研究中心，哈尔滨 150080 |
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| 基金项目： | 国家重点基础研究发展基金(973计划)，国防重点学科实验室开放基金 |
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| 摘 要： | 针对定性模型诊断方法在处理多故障模式复杂系统时计算量大，不能满足航天器自主诊断实时性要求的问题，提出了新的诊断方法。为了减小冲突识别的实时计算规模，引入冲突识别的分离策略，提出了解析冗余计算方法。扩展了候选产生算法，先识别可能的异常部件，再通过冲突环境对异常部件的故障类型进行确定，在实现多故障模式系统故障诊断的同时，缩小了匹配空间。以某卫星一次电源系统为例，通过与现有算法进行对比，验证了本文的方法能够有效地减小诊断的规模，提高诊断效率，满足航天器自主诊断的需求。
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| 关 键 词： | 故障诊断 解析冗余 多故障模式 一次电源系统 |
| 收稿时间： | 2012-01-31 |
A Spacecraft Autonomous Failure Diagnosis Approach for Multiple Failure-Mode System Based on Qualitative Models |
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| JIN Yang , WANG Ri-xin , XU Min-qiang. A Spacecraft Autonomous Failure Diagnosis Approach for Multiple Failure-Mode System Based on Qualitative Models[J]. Journal of Astronautics, 2012, 33(6): 698-704. DOI: 10.3873/j.issn.1000-1328.2012.06.003 |
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| Authors: | JIN Yang WANG Ri-xin XU Min-qiang |
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| Affiliation: | Deep Space Exploration Research Center， Harbin Institute of Technology， Harbin 150080，China |
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| Abstract: | In order to solve the large amount of calculatial problem of the failure diagnosis approach for a multiple failure mode complex system based on qualitative models,a new approach is proposed in this paper.Aiming at reducing the real-time computational scale,a method is proposed for calculating the analytic redundancy when a separation strategy for conflict recognition is adopted.The candidate generation method is extended by recognizing the failure component firstly,and the confirming the failure-mode.This method can reduce the matched space effectively while implementing the failure diagnosis of multiple failure mode system.This approach is applied to a primary electrical power system of some satellite,results of comparison with the existing method show that the approach can reduce the amount of calculation,and improve the diagnosis efficiency. |
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| Keywords: | Fault diagnosis Analytic redundancy Multiple failure mode Primary electrical power system |
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