噪声与振动控制2017，Vol.37Issue(5)：6-12,7.DOI:10.3969/j.issn.1006-1355.2017.05.002
非线性调频分量分解的转子油膜涡动信号分析研究
Analysis of Oil-membrane Whirl Signals of Rotors Based on Nonlinear FM Component Decomposition
摘要
Abstract
The vibration signal of rotor bearing systems often shows the characteristics of nonlinear frequency modulation in non-stationary conditions. Traditional spectral analysis methods are sometimes difficult to deal with these kinds of signals which components are mixed in the frequency domain. In this paper, based on the parameter resolution, a method of the nonlinear frequency modulation signal decomposition is applied to the analysis of oil whirl and oil whip characteristics. Firstly, the instantaneous frequency parameters of the signal are estimated by optimizing the spectral concentration index. Then, with the estimated parameters, the nonlinear FM signal is used as the stationary signal. Finally, the demodulation signal is extracted with the band pass filter. Results of simulation and test of signals show that this method can effectively decompose the non-stationary signals in the frequency domain. The fault characteristics of the oil whirl and oil whip of the bearing system can be extracted effectively. The initiation and development of the oil whirl and oil whip can be observed clearly and the time-frequency and amplitude information can be accurately detected. The half-frequency oil whirl can be found clearly from time-frequency spectrum diagram and the time domain waveforms of the extracted components, which provides time information for fault diagnosis. The results provide a basis for early judgment of oil whirls of bearing systems of rotors.关键词
振动与波/旋转机械/故障诊断/油膜涡动/时频分析/信号分解Key words
vibration and wave/rotating machinery/fault diagnosis/oil whirl/time-frequency analysis/signal decomposition分类
机械制造引用本文复制引用
李玲玲,陈是扦,彭志科..非线性调频分量分解的转子油膜涡动信号分析研究[J].噪声与振动控制,2017,37(5):6-12,7.基金项目
上海市科委国际合作重点资助项目(14140711100) （14140711100）
