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基于偏最小二乘回归的飞机维修保障费用预测
引用本文:郭风,张恒喜,李寿安,张琦.基于偏最小二乘回归的飞机维修保障费用预测[J].空军工程大学学报,2005,6(3):10-11.
作者姓名:郭风  张恒喜  李寿安  张琦
作者单位:空军工程大学,工程学院,陕西,西安,710038;空军工程大学,工程学院,陕西,西安,710038;空军工程大学,工程学院,陕西,西安,710038;空军工程大学,工程学院,陕西,西安,710038
摘    要:分析了影响飞机维修保障费用的参数,提出用偏最小二乘回归方法来预测飞机维修保障费用。该方法对变量进行主成分分析、典型相关分析和多元线性回归,在处理存在多重线性相关的小样本多元数据方面效果很好。实例证明,与传统普通多元线性回归方法相比,偏最小二乘回归在飞机维修保障费用预测中精度更高。

关 键 词:维修保障  费用预测  偏最小二乘回归
文章编号:1009-3516(2005)03-0010-02

Aircraft Maintenance Support Cost Forecasting Based on Partial Least-Square Regression
GUO Feng,ZHANG Heng-xi,LI Shou-an,ZHANG Qi.Aircraft Maintenance Support Cost Forecasting Based on Partial Least-Square Regression[J].Journal of Air Force Engineering University(Natural Science Edition),2005,6(3):10-11.
Authors:GUO Feng  ZHANG Heng-xi  LI Shou-an  ZHANG Qi
Abstract:Parameters of aircraft maintenance support cost is analyzed, a new cost forecasting method based on partial least-square regression is proposed. The method can be used to analyze the principal elements and typical relativity in parameters, then to regress the principal elements, and it is effective and precise in analyzing multivariate data with few observations. The results calculated show that, compared with ordinary multiple linear regression, the PLSR method has higher accuracy in aircraft maintenance support cost.
Keywords:maintenance support  cost forecasting  partial least-square regression
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