涡轴发动机转子碰摩故障振动信号分析

Analysis of Turbo-Shaft Engine Rotor Rubbing Vibration Signal

涡轴发动机的工况决定它容易在转子过渡态因瞬间失衡而出现碰摩现象。碰摩故障会引起部分统计特征参数发生突变现象。基于三叉树检测算法,提出转子局部碰摩故障监测方法。基于某涡轴发动机转子振动倍频幅值包络线、试车转速曲线,分别仿真涡轮机匣测点发生局部碰摩故障与正常工作状态下的振动信号。对振动信号进行频谱分析,并提取振动信号的峭度指标、裕度指标、总量,以对转子碰摩故障进行甄别。结果表明:转子基频容易凸显故障特征;基于统计特征的碰摩监测方法能够较好地识别出转子碰摩故障。

The working conditions determine that the turbo-shaft engine is easy to instantaneously imbalance in the transition state,which is easy to cause the rotor to to encounter rubbing faults.Rotor rubbing faults can cause sudden changes in some statistical characteristic parameters.Based on ternary search tree algorithm,the rotor local rubbing fault monitoring method was proposed.The vibration signals of rotor rubbing state and normal state of the turbine casing were simulated based on frequency-doubled envelope curve and rotor speed curve of the turbo-shaft engine rotor vibration signal.The vibration signal frequency spectrum analysis was carried out,and the kurtosis index,margin index and total amount were extracted to identify the rotor rubbing faults.The research results show that the fundamental frequency of the rotor is easy to highlight the fault characteristics;the rotor rubbing fault can be well identified by using the rubbing monitoring method.