模糊推理和证据理论融合的航空发动机故障诊断

王古常; 成坚; 鲍传美; 孙烨

模糊推理和证据理论融合的航空发动机故障诊断

武汉军械士官学校无人机系,武汉 430075

计量
- 文章访问数: 1999
- HTML浏览量: 112
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- 被引次数: 0
出版历程
- 收稿日期: 2010-10-26
- 修回日期: 2011-02-19
- 刊出日期: 2011-09-28

Diagnosis method of aero-engine fault based on fuzzy inference and evidence theory

Department of Unmanned Aerial Vehicle, Wuhan Ordnance Non-commissioned Officers Academy, Wuhan 430075, China

摘要

摘要: 提出了一种模糊推理与证据理论相结合的航空发动机故障诊断方法.首先,根据故障征兆信号,结合专家经验对发动机故障原因发生的可能进行模糊推理,解决故障诊断中的模糊性问题;其次,将模糊推理结果作为证据的基本置信度分配,确保赋值的准确性;最终,采用证据组合规则对多个证据进行融合决策,减小故障诊断的不确定性测度,并解决证据间的冲突问题,从而实现对故障源的精确定位.实验结果表明,该方法可行且有效.
- 航空发动机 /
- 故障诊断 /
- 模糊推理 /
- 证据理论 /
- 融合决策
Abstract: A diagnosis method of aero-engine fault based on fuzzy inference and evidence theory was proposed in this paper.According to the fault symptoms,the proposed method inferred the probabilities of fault causes with experts' experience,so as to resolve the fuzzy problem of fault diagnosis.Then the results of fuzzy inference were regarded as basic probabilities of evidences to insure the veracity of evaluation.Finally,all evidences were aggregated and analyzed according to the combined rules to reduce the uncertainty of fault diagnosis and eliminate the inconsistency among evidences,so as to locate the fault cause accurately.The results of experiment show that the method is feasible and effective.
- aero-engine /
- fault diagnosis /
- fuzzy inference /
- evidence theory /
- fusion decision

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参考文献(12)

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