A Study on Failure Prediction of Airborne Electronic Equipment
The mostly working time of airborne electronic equipment is under preliminary depletion failure phase, and inspection & maintenance at intervals can’t lower the failure probability. In this paper, the law of airborne electronic equipment failure is introduced firstly. Then, methods for failure prediction are summarized and analyzed. Finally, an example for predicting the airborne radar failure using the Auto-Regressive (AR) and Support Vector Regression (SVR) model is presented. On this basis, it is possible to achieve the goal that increases the reliability in working phase and establish a more scientific maintenance system and to assure the safety of airborne electronic equipment.
Yu Zhou, Shan-Tung Tu and Xishan Xie
H. P. Li et al., "A Study on Failure Prediction of Airborne Electronic Equipment", Key Engineering Materials, Vols. 353-358, pp. 2892-2895, 2007