摘要
设计并搭建回转支承试验台和信号采集分析系统,对外圈点蚀的回转支承工作信号进行采集。由于回转支承转速较低,其故障信号比较微弱且容易被淹没在正常信号之中,将故障信号加入到变形Rossler混沌系统中,通过其混沌状态的改变来确定故障信号是否存在,并对最大Lyapunov指数进行计算来定量地判断混沌系统是否发生相变,证明变形Rossler混沌系统是可以用于点蚀故障信号诊断的。
In order to collect the fault of slewing bearing signal, the slewing bearing test rig and the signal collection and analysis system were designed and built up. Due to the low slewing speed, its fault signal is relatively weak and easy to drown in the normal signal, the fault signal is added to the deformation Rossler chaotic system by changing its chaotic state to determine whether there is a fault signal, and the largest Lyapunov exponent is calculated to determine the quantitative detection of the state of chaotic system proved deformation Rossler chaotic system failure on slewing ring signal detector is effective.
出处
《机械工程师》
2015年第2期133-135,共3页
Mechanical Engineer
