Long Short-Term Memory Network for Integrated Modular Avionics Degradation Modeling and Health Assessment

Abstract

With the improvement of aircraft informatization, Integrated Modular Avionics (IMA) system has become an important part of modern aircraft airborne systems, and its operation status has great significance to ensure flight safety, therefore, it is necessary to study its degradation process and health assessment. Based on the IMA system analysis and health state classification, the Long Short-Term Memory (LSTM) network is introduced in this paper to model the IMA system’s degradation process and assess system health status, the effectiveness of the proposed method for degradation modeling and health assessment is verified by the experimental simulation in the end.