摘要
根据电子系统视情维修的需要,提出一种针对发射机的状态监测与健康管理新方法。通过分析发射机的测试信号特点,对测试脉冲电流提取其小波特征,并利用连续隐马尔科夫模型作状态监测器,计算发射机未知状态下的KL距离,从而将发射机变化不明显的初期故障过程转变为变化明显的KL距离,并用其估计发射机的健康状况,以此决定维修与否。实验验证了该方法的有效性,为视情维修提供了依据。
According to the needs of conditional-based maintenance for electronic system,the paper presents a novel method to monitor transmitter’s state and evaluate its health.Through analyzing transmitter’s key signal,the corresponding wavelet features can be extracted and are further sent to CHMM used as the state monitor to calculate the Kullback-Leibler（KL） distance of unknown state,and thus,transmitter’s incipient fault process can be converted into the obvious change of KL distance successfully.Based on the KL distance,transmitter’s health can be correctly evaluated and it becomes easy to decide to repair it or not.Finally the tested performance of the proposed method indicates that the method is effective and provides basis for condition-based maintenance.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2010年第6期875-879,890,共6页
Journal of University of Electronic Science and Technology of China
基金
部级基础预研项目
四川省教育厅自然科学重点项目(08ZA067)
