Abstract: To study the cargo compartment corrosion impacted by a variety of environment factors, the environment indicator data of a cargo compartment and apron are collected to establish a linear model so as to establish a formula to convert the indicators between the cargo compartment and the apron. By gathering the structure corrosion maintenance data from a series of civil aircraft in several airlines for the long term, a grey relational analysis of cargo compartment corrosion frequency and environment factors is obtained which could indicate the main factors affecting corrosion. Then, by removing the multicollinearity of circumstance factors, a regression model of cargo compartment corrosion frequency is built, and research is conducted on the regularity and characteristics of corrosion of cargo compartment impacted by a variety of environment factors. The statistical results show that hot and humid weather and raining indicator could have a significant effect on cargo compartment corrosion frequency, and aircraft corrosion frequency varies as airline varies, which suggests that operation, structure inspection, maintenance and other human factors have a significant impact on cargo compartment corrosion. The statistical data agree well with the engineering experience of cargo compartment corrosion control and the research method is verified.

Key words: corrosion frequency, environment of the cargo compartment and apron, grey relation, principal component analysis, regression model