非线性支持向量回归在航空发动机性能参数预测中的应用

摘要

It is a current hotspot to monitor aeroengine in the application research of aviation field base on flight data. The theory of support vector machine for regression is presented, which is used to forecast aeroengine character parameters combined with flight data. The compute results show that SVR has good learning and predictive capability.%基于飞参数据的航空发动机的状态监控,是当前航空领域应用研究的热点之一.介绍了支持向量机回归理论,并用支持向量回归机和飞参数据对航空发动机特征参数(转差率S)进行了预测.计算结果表明,支持向量机回归方法具有很好的学习能力和预测能力.