FLIGHT DATA BASED PROGNOSTIC HEALTH MANAGEMENT MODEL FOR MILITARY AIRCRAFT
Maintenance of military aircraft has traditionally been performed in reaction to reported failures or through periodic system replacements. Recent changes in flight data acquisition and support requirements have spurred interest in application of prognostic health management (PHM) concepts developed for mechanical systems to electronic systems. This paper proposes a flight data based PHM model for military aircraft, which contains the onboard data acquisition subsystem and the ground-based data processing subsystem. Based on the holistic structure analysis of the proposed system, both of the subsystems are designed in detail from software to hardware. Some key technologies such as data preprocessing, wavelet analysis based fault symptom extraction, fault prediction model of aeroengine rotor based on optimized grey model and AHP-based maintenance strategies selection are depicted and specific methods of realization are given concretely.
Data preprocessing Flight data Wavelet analysis Optimized grey model AHP
Jianrong Wang Lida Zhu Yingying Su Kai Fan Wanshan Wang
School of Mechanical Engineering & Automation, Northeastern University, Wenhua Road, Shenyang, 110004, China.
国际会议
北京
英文
1701-1708
2008-10-27（万方平台首次上网日期，不代表论文的发表时间）