振动与冲击
振動與遲擊
진동여충격
JOURNAL OF VIBRATION AND SHOCK
2015年
15期
72-76
,共5页
1.5维谱%滑动 Teager 峭度%滚动轴承%故障诊断
1.5維譜%滑動 Teager 峭度%滾動軸承%故障診斷
1.5유보%활동 Teager 초도%곤동축승%고장진단
1.5-dimensional spectrum%sliding Teager kurtosis%rolling element bearing%fault diagnosis
滚动轴承故障振动信号中的冲击成分呈现显著的非高斯性,高阶累积量和高阶谱技术是处理非高斯信号的良好分析工具。在四阶累积量-Teager 峭度的基础上提出滑动 Teager 峭度的分析方法,并联合三阶谱-1.5维谱,提出基于1.5维 Teager 峭度谱的滚动轴承故障诊断方法。该方法首先对轴承故障信号进行滑动 Teager 峭度计算,获得一个反应故障信号冲击特性的 Teager 峭度时间序列,然后通过计算 Teager 峭度时间序列的1.5维谱,提取出滚动轴承故障特征频率。通过仿真信号分析验证了该方法的解调性能和提取滚动轴承弱冲击故障特征的能力。最后分析了滚动轴承内圈故障实验测试信号,并和基于快速 Kurtogram 算法的共振解调方法进行对比分析,验证了该方法的有效性。
滾動軸承故障振動信號中的遲擊成分呈現顯著的非高斯性,高階纍積量和高階譜技術是處理非高斯信號的良好分析工具。在四階纍積量-Teager 峭度的基礎上提齣滑動 Teager 峭度的分析方法,併聯閤三階譜-1.5維譜,提齣基于1.5維 Teager 峭度譜的滾動軸承故障診斷方法。該方法首先對軸承故障信號進行滑動 Teager 峭度計算,穫得一箇反應故障信號遲擊特性的 Teager 峭度時間序列,然後通過計算 Teager 峭度時間序列的1.5維譜,提取齣滾動軸承故障特徵頻率。通過倣真信號分析驗證瞭該方法的解調性能和提取滾動軸承弱遲擊故障特徵的能力。最後分析瞭滾動軸承內圈故障實驗測試信號,併和基于快速 Kurtogram 算法的共振解調方法進行對比分析,驗證瞭該方法的有效性。
곤동축승고장진동신호중적충격성분정현현저적비고사성,고계루적량화고계보기술시처리비고사신호적량호분석공구。재사계루적량-Teager 초도적기출상제출활동 Teager 초도적분석방법,병연합삼계보-1.5유보,제출기우1.5유 Teager 초도보적곤동축승고장진단방법。해방법수선대축승고장신호진행활동 Teager 초도계산,획득일개반응고장신호충격특성적 Teager 초도시간서렬,연후통과계산 Teager 초도시간서렬적1.5유보,제취출곤동축승고장특정빈솔。통과방진신호분석험증료해방법적해조성능화제취곤동축승약충격고장특정적능력。최후분석료곤동축승내권고장실험측시신호,병화기우쾌속 Kurtogram 산법적공진해조방법진행대비분석,험증료해방법적유효성。
The vibration signals of faulty rolling element bearings reveal remarkable non-Gaussian characteristics, high order cumulants and high order spectra technology are good tools for analyzing non-Gaussian signals.A method named sliding Teager kurtosis was proposed on the basis of Teager kurtosis,and it was combined with a 1.5-dimensional spectrum.Here,a new fault diagnosis method for rolling element bearings was proposed based on 1.5-dimensional Teager kurtosis spectrum.Firstly,a time series of Teager kurtosis reflecting the impulse characteristics of vibration signals was obtained through computing sliding Teager kurtosis,then the fault characteristic frequencies of rolling element bearings were extracted by calculating the 1.5-dimensional spectrum of the Teager kurtosis time series.The analysis of simulated signals verified the proposed method's demodulation ability and its ability to extract weak fault features of rolling element bearings.Finally,the effectiveness of the proposed method was validated by analyzing inner ring fault signals of roll bearings and comparing with the method of resonance demodulation based on fast computation of kurtogram.