阶次跟踪和Hilbert变换在滚动轴承非平稳信号故障诊断中的应用  

Application of order tracking and Hilbert transform in fault diagnosis of rolling bearings

作　　者：王鹏利[1] Wang Pengli(College of Automotive Engineering,Shaanxi Institute of Technology,Shaanxi Xi'an,710300,China)

机构地区：[1]陕西国防工业职业技术学院汽车工程学院,陕西西安710300

出　　处：《机械设计与制造工程》2023年第6期97-102,共6页Machine Design and Manufacturing Engineering

基　　金：陕西国防工业职业技术学院校级重点项目(Gfy21-14)。

摘　　要：风力发电机组传动链因风速的时变特性而处于变转速运行状态,其主轴承因低速、重载导致振动信号具有非平稳和调制特点,常规分析时频谱会出现“模糊”现象,不能及早提取故障特征频率。提出了阶次跟踪和Hilbert变换联合分析方法,使用阶次跟踪在角度域进行等角度重采样,把时域非平稳信号转换成角度域平稳信号,然后应用Hilbert变换把低频故障信号从高频载波信号中解调出来,以及早发现隐患。结果表明,阶次跟踪和Hilbert变换联合分析能够较早地提取出故障特征频率并对故障进行精确定位,对低速重载风电主轴承故障诊断十分有效。The speed of wind turbine transmission chain is change with the change of wind speed at all times,this may cause their vibration signals with unsteady and demodulating.The traditional frequency spectrum of the vibration signal in the variable speed condition is ambiguity.Using the order tracking,the non-stationary signal in time domain is converted into stationary signal in angle domain.Then,the Hilbert envelope demodulation is used to demodulate the low frequency fault signal from the high frequency carrier signal.The results show that the method of order and Hilbert envelop demodulation has ability to identify the fault frequency,which is very effective for fault diagnosis of the wind turbine transmission chain.

关 键 词：阶次跟踪 HILBERT变换 滚动轴承 故障诊断 

分 类 号：TH113[机械工程—机械设计及理论]