| 基于支持向量机的航空发动机性能衰退指标预测 |
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| 引用本文： | 谭巍,徐健,于向财.基于支持向量机的航空发动机性能衰退指标预测[J].航空发动机,2014,40(4):51-55. |
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| 作者姓名： | 谭巍 徐健 于向财 |
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| 作者单位： | 1. 海军航空兵学院,辽宁葫芦岛,125001
2. 海军驻沈阳地区发动机专业军事代表室,沈阳,110031 |
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| 摘 要： | 针对航空发动机性能衰退状态的趋势预测问题,基于非线性支持向量机回归建立了发动机性能衰退指标的预测模型,给出了反映其性能衰退的综合指标。利用该模型对发动机的性能衰退指标进行了预测分析,并与神经网络模型预测结果进行了比较。结果表明:支持向量机回归预测模型能更准确地对发动机的未来状况进行预测。
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| 关 键 词： | 支持向量机 性能衰退 性能指标 性能预测 航空发动机 |
Prediction of Aeroengine Performance Deterioration Index Based on Support Vector Machine |
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| Authors: | TAN Wei XU Jian YU Xiang-cai |
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| Institution: | 1. Naval Aviation, Academy Liaoning Huludao 125001, China; 2. Navy Station in Shenyang Military Representative Office on Engine, |
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| Abstract: | Aiming at the problems of trends prediction for aeroengine performance deterioration, the prediction model of engine performance deterioration index was regresively built based on the nonlinear Support Vector Machine （SVM）, and synthetic index reflected performance deterioration was obtained. The index of engine performance deterioration was predicted and analyzed by SVM model, which compared with the Artificial Neural Network （ANN） model The results show that the SVM model can accurately predict engine operation in the future. |
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| Keywords: | SVM performance deterioration performance index performance forecasting aeroengine |
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