Abstract—According to the current status that the Civil Aviation Industry lack of effective method for airborne electronic equipment life prediction. Based on studying characteristic parameters of the airborne electronic equipment lifecycle, this paper analyzes some real service data of airborne electronic equipment, and then use airborne electronic equipment life prediction method which based on normal distribution fitting, study the life distribution of series components with the same part number, and gives the confidence interval of the overall mean and variance in the 0.9 confidence level.

Index Terms—Airborne electronic equipment, life prediction, normal distribution fitting, confidence interval

Wengao Qian and Chen Xiao are with the College of Aviation Automation Engineering, Civil Aviation University of China, China (e-mail:wgqian_yjs08@cauc. edu.cn, cxiao_yjs10@cauc.edu.cn).
Hongyan Ma is with the Basic Experimental Center, Civil Aviation University of China, China (e-mail: hyma_yjs09@cauc.edu.cn).