Oil film bearing,which works on thin film between sleeve and bush,is widely used in steel industry due to the characteristics of high efficiency and low noise,etc. The backup roll of 1 580PC hot strip mill invested by...Oil film bearing,which works on thin film between sleeve and bush,is widely used in steel industry due to the characteristics of high efficiency and low noise,etc. The backup roll of 1 580PC hot strip mill invested by some steel corporation has been equipped with such bearing. During the process of setup&disassembly and usage period,the sleeve has been dramatically damaged,which results in production accidents and decreases its service life,thus heavily influencing steel production. Aimed at such puzzles,under specific loadcase,mechanical properties of bearing sleeve,as well as estimation of contact status and adhesive force of sleeve by interference fit,are quantitatively simulated by finite element method,which establishes an mechanical foundation for improving the load capacity of bearing and decreasing its wear and adhesion damages. Finally,some measures and conclusions are drawn.展开更多
Fault-related resonance frequency band extraction-based demodulation methods are widely used for bearing diagnostics.However,due to the high peaks of strong gear meshing interference,the classical band selection metho...Fault-related resonance frequency band extraction-based demodulation methods are widely used for bearing diagnostics.However,due to the high peaks of strong gear meshing interference,the classical band selection methods have poor performance and cannot work well for bearing fault type detection.As such,the CVRgram-based bearing fault diagnosis method is proposed in this paper.In the proposed method,inspired by the conditional variance(CV)index and root mean square(RMS),a novel index,named the CV/root mean square(CVR),is first proposed.The CVR index has high robustness for the interference of non-Gaussian or Gaussian noise and has the ability to determine the center frequency of the weak bearing fault-related resonance frequency band under strong interference.Secondly,motived by the Kurtogram,the CVRgram algorithm is developed for adaptively determining the optimal filtering parameters.Finally,the CVRgram-based bearing fault diagnosis method under strong gear meshing interference is proposed.The performance of the CVRgram-based method is verified by both the simulation signal and the experiment signal.The comparison analysis with the Kurtogram,Protrugram,and CVgram-based method shows that the proposed technique has a much better ability for bearing fault detection under strong noise interference.展开更多
针对希尔伯特变换无法在轮轨激扰下实现轴箱轴承故障信息识别的缺陷,提出使用高阶频率加权能量算子(High-Order Frequency-Weighted Energy Operator,HFWEO)对轴箱轴承故障冲击进行识别的新方法。首先,通过高速动车组单轴滚动振动试验...针对希尔伯特变换无法在轮轨激扰下实现轴箱轴承故障信息识别的缺陷,提出使用高阶频率加权能量算子(High-Order Frequency-Weighted Energy Operator,HFWEO)对轴箱轴承故障冲击进行识别的新方法。首先,通过高速动车组单轴滚动振动试验台进行了轮轨激扰下轴箱振动信号的采集,并对轴箱振动特性进行了分析,得出轮对踏面损伤产生的轮轨激扰主要位于1 kHz以下的低频部分,而轴承故障冲击主要位于1 kHz以上高频的部分;然后,通过公式推导分析了HFWEO的解调特性,并讨论了HFWEO的信号干扰比(Signal-to-Interference Ratio,SIR)随HFWEO阶次变化的规律,证明高阶频率加权能量算子可在轮轨激扰下实现轴箱轴承的故障诊断;最后,将HFWEO应用于轮轨激扰下的轴箱轴承故障数据分析,验证了HFWEO解调方法的有效性与优越性。展开更多
基金Supported by the Natural Science Foundation of China (50575155) The authors would like to thank for the support of National Natural Science Foundation (50575155)
文摘Oil film bearing,which works on thin film between sleeve and bush,is widely used in steel industry due to the characteristics of high efficiency and low noise,etc. The backup roll of 1 580PC hot strip mill invested by some steel corporation has been equipped with such bearing. During the process of setup&disassembly and usage period,the sleeve has been dramatically damaged,which results in production accidents and decreases its service life,thus heavily influencing steel production. Aimed at such puzzles,under specific loadcase,mechanical properties of bearing sleeve,as well as estimation of contact status and adhesive force of sleeve by interference fit,are quantitatively simulated by finite element method,which establishes an mechanical foundation for improving the load capacity of bearing and decreasing its wear and adhesion damages. Finally,some measures and conclusions are drawn.
基金supported by the National Natural Science Foundation of China (Grant Nos.52075008,51905292)。
文摘Fault-related resonance frequency band extraction-based demodulation methods are widely used for bearing diagnostics.However,due to the high peaks of strong gear meshing interference,the classical band selection methods have poor performance and cannot work well for bearing fault type detection.As such,the CVRgram-based bearing fault diagnosis method is proposed in this paper.In the proposed method,inspired by the conditional variance(CV)index and root mean square(RMS),a novel index,named the CV/root mean square(CVR),is first proposed.The CVR index has high robustness for the interference of non-Gaussian or Gaussian noise and has the ability to determine the center frequency of the weak bearing fault-related resonance frequency band under strong interference.Secondly,motived by the Kurtogram,the CVRgram algorithm is developed for adaptively determining the optimal filtering parameters.Finally,the CVRgram-based bearing fault diagnosis method under strong gear meshing interference is proposed.The performance of the CVRgram-based method is verified by both the simulation signal and the experiment signal.The comparison analysis with the Kurtogram,Protrugram,and CVgram-based method shows that the proposed technique has a much better ability for bearing fault detection under strong noise interference.
