摘要
结合驱动桥运行时的实际情况,通过分析随机共振原理,给出了一种自适应随机共振算法.该算法能够根据输入信号自动调节系统参数,使其达到共振从而提取淹没在强背景噪声下的有用信号特征.通过仿真实验验证了该自适应算法能够从强背景噪声中提取一个和多个频率的信号.将该自适应算法应用于驱动桥故障检测中,结果表明该算法能够区分和识别驱动桥存在的不同故障类型.
According to the working condition of driver axle, an adaptive stochastic resonance algorithm based on stochastic resonance theory was presented. The algorithm can adjust the system parameters automatically with input signals to resonate. The features of useful signals submerged by strong disturbing noise can be extracted. Simulation tests show that the algorithm can extracts one or more signals from strong disturbing noise. The algorithm was applied to faults diagnosis of driver axle. The result showed that the algorithm could distinguish and recognize different faults of driver axle.
出处
《传感技术学报》
CAS
CSCD
北大核心
2007年第4期870-873,共4页
Chinese Journal of Sensors and Actuators
关键词
随机共振
驱动桥
故障诊断
stochastic resonance
driver axle
faults diagnosis
