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涡轴发动机自适应混合诊断模型高斯加权聚类方法 被引量:5
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作者 佘云峰 黄金泉 鲁峰 《航空动力学报》 EI CAS CSCD 北大核心 2011年第5期1178-1184,共7页
针对整个飞行包线内涡轴发动机健康参数估计问题,提出基于高斯加权聚类的机载自适应混合模型建立方法.机载自适应混合模型由卡尔曼滤波器和神经网络组成,由于飞行数据样本庞大,采用高斯加权模型对涡轴发动机飞行数据进行实时聚类,利用... 针对整个飞行包线内涡轴发动机健康参数估计问题,提出基于高斯加权聚类的机载自适应混合模型建立方法.机载自适应混合模型由卡尔曼滤波器和神经网络组成,由于飞行数据样本庞大,采用高斯加权模型对涡轴发动机飞行数据进行实时聚类,利用聚类数据更新神经网络权重,并实现自适应混合模型工作范围的自动扩展.仿真结果表明了该方法的有效性,采用高斯加权聚类的自适应混合模型提高了全包线内性能跟踪的精度. 展开更多
关键词 涡轴发动机 高斯加权模型 机载自适应混合模型 性能参数估计 卡尔曼滤波 神经网络
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A model for parameter estimation of multistage centrifugal compressor and compressor performance analysis using genetic algorithm 被引量:8
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作者 CHU Fei WANG FuLi +1 位作者 WANG XiaoGang ZHANG ShuNing 《Science China(Technological Sciences)》 SCIE EI CAS 2012年第11期3163-3175,共13页
A model for performance prediction of multistage centrifugal compressor is proposed. The model allows the users to predict the compressor performance, e.g. pressure ratio, efficiency and losses using the compressor ge... A model for performance prediction of multistage centrifugal compressor is proposed. The model allows the users to predict the compressor performance, e.g. pressure ratio, efficiency and losses using the compressor geometric information and speed by a stage stacking calculation based on the characteristics of each stage. To develop the compressor elemental stage charac- teristics, the compressor losses, such as incidence losses and friction losses, are mathematically modeled. For a composite sys- tems, for instance a gas turbine power plant, the performance of the multistage centrifugal compressor can be evaluated. Since some important parameters of the compressor model, e.g., the slip factor or, shock loss coefficient (and reference diameter DI, are hard to be determined by empirical laws, a genetic algorithm (GA) is used to solve the parameter estimation problem of the proposed model, and in turn the compressor performance analysis and parameters study are performed. The surge line for the multistage centrifugal compressor can also be determined from the simulation results. Furthermore, the model presented here provides a valuable tool for evaluating the multistage centrifugal compressor performance as a function of various operation parameters. 展开更多
关键词 performance predication centrifugal compressor incidence loss genetic algorithm surge line
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