摘要
本文采用随机共振(SR)理论对淹没在强噪声背景下故障的微弱信号进行了检测。讨论分析了双稳系统选取不同参数时,对输出信噪比的影响,并将该方法成功地用于异步电动机转子断条的早期故障诊断中。大量仿真结果表明了该方法的有效性。
Abstract： In this paper, the stochastic resonance theory is presented to detect weak signals submerged in strong noise background. The effect of different parameters on output signal-to-noise ratio in bi-stable system is illustrated and analyzed. This method has been successfully applied to the early fault diagnosis of broken rotor bars of induction motor. Simulation results show the validity of this method.
出处
《大电机技术》
北大核心
2006年第1期26-31,共6页
Large Electric Machine and Hydraulic Turbine
关键词
随机共振
噪声
微弱信号检测
转子断条
stochastic resonance
noise
weak signal detection
broken rotor bars
