阶次跟踪和Hilbert包络解调在滚动轴承故障诊断中应用
Application of Order Tracking and Hilbert Envelope Demodulation in Rolling Bearing Fault Diagnosis

针对风力发电机组传动链时变工况下振动信号非平稳和调制特点，提出了一种基于阶次跟踪和Hilbert包络解调的滚动轴承故障诊断的新方法。使用阶次跟踪把时间域采样转换成角度域进行等角度重采样，把时间域非平稳信号变换成角度域平稳信号，可消除"频谱模糊"现象，进一步应用Hilbert包络解调把低频故障信号从高频载波信号中解调出来。结果表明，阶次跟踪和Hilbert包络解调联合能够有效地提取时变工况下非平稳振动信号的故障特征频率并判断故障类型。
A new analysis method combined order tracking with Hilbert envelope demodulation is proposed to fault diagnosis of the wind turbine transmission chain, which is non-stationary and demodulating. Using the order tracking, sampling vibration signals in time domain are resampled in the angle domain, so that the non-stationary signal in time domain was converted into stationary signal in angle domain. It can overcome effectively the "frequency smear" phenomenon, which cannot be solved with the traditional frequency spectrum method. Then, the Hilbert envelope demodulation was used to demodulate the low frequency fault signal from the high frequency carrier signal