摘要
为对卫星姿态控制系统的传感器进行故障诊断,需要确定传感器故障条件下的输出信号的特征,借助于经验模态分解法(EMD)具有自适应地获取信号固有特性的特点,通过对传感器输出信号的分解,实现故障特征的自适应提取.该方法的特点在于分解过程自适应,分解结果物理意义明确,无需预先确定故障类型.仿真比较结果表明,基于经验模态分解的信号特征提取与故障诊断方法具有优越性.
For the purpose of fault diagnosis in satellite attitude control system,the fault symptoms of sensor output signals should be determined at first.Empirical mode decomposition(EMD) can be employed to decompose the output signals and the fault symptoms can be concluded.The power of Empirical mode decomposition lies on its automatic and adaptive signal decomposition ability and its decomposition results have clear physical meanings.Simulation results indicate that the application of empirical mode decomposition to signal feature extraction and fault diagnosis is feasible.
出处
《华中科技大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2009年第S1期204-206,共3页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(60874054)
关键词
故障诊断
特征提取
卫星姿态控制系统
经验模态分解
自适应信号处理
fault diagnosis
feature extraction
satellite attitude control system
empirical mode decomposition
adaptive signal processing