基于协调近似表示空间的航空发动机故障诊断
Aero-engine fault diagnosis based on consistent-approximative denoted space
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摘要: 航空发动机故障诊断的一个主要目标即是求出具有最大分布的故障类型,协调近似表示空间为统一处理不同信息系统提供了工具,并且考虑到航空发动机故障是典型的小样本问题,因此针对航空发动机故障诊断决策信息系统,在求取其基于最大分布的协调近似表示空间的基础上,引入规则融合方法得到所有不同条件下的决策规则,并将其用于历史故障数据的分析,得到了高的识别率,从实践的角度证明了该方法的有效性以及融合所得规则的普适性.Abstract: The acquisition of decisions based on maximal distribution is one of important aids in aero-engine fault diagnosis,and consistent-approximative denoted space(CADS) offers a tool to uniformly process them;and,aero-engine fault is a typical problem of small samples set.Aimed at decision-making information system of a certain aero-engine fault,the paper firstly sought its CADS based on maximal distribution,then introduced the method of rule fusion to obtain all decision rules under different conditions,and the history faults were recognized accordingly with a higher rate of identification.The result shows the effect of this method and the applicability of the decision-rules received from rule fusion.
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Key words:
- aero-engine /
- fault diagnosis /
- rough sets /
- consistent-approximative denoted space(CADS) /
- rule fusion
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