| 高压压气机性能老化预测和影响分析 |
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| 引用本文： | 李冬,浦鹏,谭巍,曹亮.高压压气机性能老化预测和影响分析[J].燃气涡轮试验与研究,2011(4):1-5. |
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| 作者姓名： | 李冬 浦鹏 谭巍 曹亮 |
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| 作者单位： | 1. 海军航空工程学院研究生管理大队,山东烟台,264001
2. 91423部队装备部,山东烟台,264001 |
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| 摘 要： | 以高压压气机为例，确定效率和流量损失作为性能衰退分析的主要因素。得到叶片粗糙度引起的效率和流量损失变化规律，利用神经网络建立并验证其对应关系。提出运用主成分分析将两个中间变量转化成单一变量，通过引入性能衰退综合指数，建立飞行循环数与叶片粗糙度的函数关系。利用时间序列三次指数平滑方法对性能衰退进行预测，效果较好。将高压压...
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| 关 键 词： | 高压压气机 叶片粗糙度 预测 稳态模型 性能衰退 |
Prediction and Influence Analysis of High-Pressure Compressor Performance Deterioration |
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| LI Dong,PU Peng,TAN Wei,CAO Liang.Prediction and Influence Analysis of High-Pressure Compressor Performance Deterioration[J].Gas Turbine Experiment and Research,2011(4):1-5. |
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| Authors: | LI Dong PU Peng TAN Wei CAO Liang |
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| Institution: | LI Dong1,PU Peng2,TAN Wei1,3,CAO Liang1(1.Graduate Student Brigade Naval Aeronautical and Aeronautical University,Yantai 264001,China,2.The 91423th Unit of Navy,3.Aviation Theory Teaching and Researching Department,Naval Flying Academy,Huludao 125001,China) |
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| Abstract: | Taking a high pressure compressor for example,efficiency and mass flow loss are determined as the main factors of performance deterioration.Variation of efficiency and mass flow loss with blade roughness is gained;their corresponding relation is established and validated by neural network.Turning two middle variables into single variable is presented by using principle ingredient analysis;the functional relation of flight circular number and blade roughness is established by introducing synthetic index of p... |
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| Keywords: | high-pressure compressor blade roughness prediction stable model performance deterioration |
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