Health Prediction of Airborne System Based on Grey Prediction

Abstract

With the development of civil aircraft technology, the scale of civil aviation industry in China is expanding, and the service capacity is gradually improving. Civil aviation industry has become an important industry in China’s economic development. With the increasing complexity, integration and intelligence of aircraft, it is more and more difficult to diagnose and maintain the fault of airborne system. The traditional fault diagnosis and maintenance methods cannot meet the requirements of modern aircraft development. Especially in the field of aircraft maintenance, the thought of aircraft maintenance has gone through the transformation process from “preventive maintenance” to “reliability maintenance”, and the maintenance method of aircraft has gradually changed from the previous scheduled maintenance to the situation-based maintenance.