针对舰船燃气轮机动力涡轮转子系统中滚动轴承故障频发的问题，搭建了滚动轴承故障模拟试验台，利用激光加工设备在前支承位置预制了3种滚动轴承故障（外圈、内圈和滚子），分别结合4种滚动轴承状态，在800~3 000 r/min转速范围内开展了定转速试验并同步采集了振动信号和声发射信号，在此基础上先后利用阶次分析、小波包分解实现了信号预处理。研究结果表明：动力涡轮转子系统临界转速试验值与仿真值相对误差约为3.8%，同时该系统平衡精度等级较高，可支持开展后续故障试验；较低转速（800~1 000 r/min）下加速度信号中滚动轴承故障特征较为明显，可进行故障源定位，更高转速下可借助明显增大的变柔度振动特征进行故障监测；滚动轴承故障对应的声发射信号主要频率范围集中在0~375 kHz。

For the high incidence of rolling bearing faults in the power turbine rotor system of marine gas turbines,a test rig of rolling bearing fault simulation was built.Three kinds of rolling bearing faults such as outer ring,inner ring,and roller were prefabricated at the front support using laser processing equipment.In the range of 800 r/min to 3 000 r/min,combining with four kinds of rolling bearing states,constant speed tests were carried out,furthermore,vibration signals and acoustic emission signals were collected synchronically.On this basis,order analysis and wavelet packet decomposition were used successively to realize signal preprocessing.The research results show that the relative error between the experimental value and the simulation value of the critical speed of the power turbine rotor system is about 3.8%,and the balance quality grade of this rotor system is higher,which can support the subsequent fault test.At lower speeds of 800 r/min to 1 000 r/min,the fault characteristics of the rolling bearing are more obvious in acceleration signals,which can be used to locate the fault source.At higher speeds,fault monitoring can be carried out with the help of significantly increased characteristics of varying compliance vibration.The main frequency range of acoustic emission signals corresponding to rolling bearing faults is from 0 to 375 kHz.

TH113.1

国家科技重大专项（2017-Ⅰ-0007-0008）