基于粒子滤波的模拟滤波器剩余使用寿命预测方法.doc


基于粒子滤波的模拟滤波器剩余使用寿命
预测方法#
龙兵,咸卫明,田书林*
5
10
(电子科技大学自动化工程学院)
摘要:针对现有模拟滤波器电路故障预测技术方面的不足,提出了基于粒子滤波算法的剩余
使用寿命预测方法。首先,提取模拟滤波器电路的特征参数,并采用欧式距离计算出反映电
路性能退化趋势的故障指示器;其次,根据故障指示器找出电路性能退化的故障模型;最后,
将故障模型与粒子滤波算法相结合,预测出电路的剩余使用寿命。以 Sallen-key 带通滤波器
为例,预测电路的剩余使用寿命,结果表明,本文提出的方法可以以较高的精度预测出了电
路的剩余实用寿命。
关键词:模拟滤波器;故障预测;剩余使用寿命;粒子滤波
中图分类号:TN707
15
A Novel Method Based on Particle Filter For Analog Filters
Remaining Useful Life Prediction
Long Bing, Xian Weiming, Tian Shulin
(School of Automation, University of Electronic Science and Technology of China)
20
25
30
35
40
Abstract: Aiming at the issue of failure prognosis technique of analog filters, a method based on
particle filter(PF) algorithm is proposed for remaining useful life(RUL) prediction. Firstly, analog
filters frequency features are extracted. Based on the extracted features, a fault indicator (FI) based
on Euclidean distance monitoring the degradation trend of the analog filters is developed for
failure prognosis. Then, a model is developed based on the degradation trend exhibited by the FI.
Finally, PF approach is applied to model adaption and RUL prediction. Sallen-key band-pass filter
is used as an example to demonstrate this approach. The experimental results show that the
proposed prognostic approach can predict the RUL of analog filters with high precision.
Key words: Analog Filters;Failure Prognosis