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基于模糊指数融合和正交基分解的发动机性能监控

Engine Performance Monitoring Based on Fuzzy Index Fusion and Orthogonal Basis Decomposition

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针对发动机性能监控过程中出现的单参数监控信息量不足和多参数容易矛盾的情况,提出一种发动机性能监控模糊指数融合方法。该方法基于滑动窗口参数均值和熵,采取有效的信息融合技术,建立表征发动机性能的模糊融合指数。利用神经网络方法,依据已确定的模糊融合规则推导出剩余决策规则。实例表明,模糊融合指数能很好地跟踪发动机性能缓慢衰退和突变两种情况。用正交基分解的方法对模糊指数进行重构预测,与线性拟合和二次拟合相结合的方法相比,其预测精度更高,能准确预测发动机的性能变化。
Aiming at information shortage of single parameter and easy contradiction of multi-parameter in the process of engine performance monitor, a method of fuzzy index fusion in the engine performance moni-tor was presented. With effective information fusion technology, based on parameter mean and entropy of sliding window, performance fuzzy fusion index was established. Residual decision-making logic was de-duced by neural network according to pre-determined fuzzy fusion rule. Example indicated fuzzy index could track the engine performance slow deterioration and sudden changes. Fuzzy fusion index was recon-structed and predicted by adopting orthogonal basis decomposition method. Compared with combination of linear and quadratic prediction method, orthogonal basis decomposition method gets higher accuracy, and predicts performance change accurately.

aero-engineperformance monitoringfuzzy information fusionorthogonal basis decompositiondecision-making logicinformation entropy

李冬、李本威、孙涛、宋汉强、赵勇

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海军航空工程学院研究生管理大队,山东烟台264001

海军航空工程学院飞行器工程系,山东烟台264001

航空发动机 性能监控 模糊信息融合 正交基分解 决策规则 信息熵

2013

燃气涡轮试验与研究
中国燃气涡轮研究院

燃气涡轮试验与研究

北大核心
影响因子:0.146
ISSN:1672-2620
年,卷(期):2013.(5)
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