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通过理论和试验分析影响发动机表面振动的发动机运行参数,得出发动机表面振动加速度信号RMS与发动机的转速、扭矩有关。为了实现发动机变工况的基于振动的运行状态监测,提出智能学习的发动机表面振动限值确定方法,该方法在利用振动信号对发动机监测之前,学习一定时间发动机的不同工况振动信号特征值,并剔除同工况下异常的数据,然后利用平均值确定该工况下的振动特征上下限值。通过实例验证表明该方法能够实现对发动机表面振动限值的确定。
Through theoretical and experimental analysis of the engine operating parameters that affect the surface vibration of the engine, it is concluded that the RMS signal of the engine surface vibration acceleration is related to the engine speed and torque. In order to realize the engine vibration monitoring based on the vibration condition, this paper proposes a method to determine the surface vibration limit of the engine learning intelligently. The method learns the eigenvalues of the engine vibration signals at different time before monitoring the engine with the vibration signal, And remove the abnormal conditions under the same data, and then use the average value to determine the vibration characteristics of the upper and lower limits. The practical example shows that this method can determine the vibration limit of the engine surface.