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 Airborne electronic equipment is repairable product, It can be used in the cycle of use-repair-use, and most of the components are no depletion period. Most of the failures in the service life are randomly. If the airborne electronic equipment faults, it will cause great economic loss and casualty, even a major accident. Life is an important indicator of the airborne equipment running condition, and the current civil aviation industry lack of an effective method for airborne electronic equipment life prediction. Broadly speaking, according to the theory of reliability engineering, life is one of the reliability parameters of the product. It involves the safe, reliable, economic, and other factors. Due to the longer life of airborne electronic equipment, and most of the products does not exist a significant depletion period, life prediction of no suitable can be monitored depletion parameters and performance degradation parameters, while the airborne electronic products is repairable products, does not give the total life, but only gives the mean time between failures(MTBF) generally. Therefore, this paper analyzes some real service data of airborne electronic equipment, then use airborne electronic equipment life prediction method which based on normal distribution fitting.