中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2013年
33期
123-129
,共7页
线调频小波%阶比双谱%故障特征频率%滚动轴承%故障诊断
線調頻小波%階比雙譜%故障特徵頻率%滾動軸承%故障診斷
선조빈소파%계비쌍보%고장특정빈솔%곤동축승%고장진단
chirplet%order bispectrum%fault characteristic frequency%roller bearing%fault diagnosis
当滚动轴承出现故障时,其产生的振动信号往往表现出较强的非线性、非高斯和非平稳特征。为了实现非平稳转速下滚动轴承的故障诊断,提出了一种基于故障特征频率的阶比双谱分析方法(order bispectrum analysis based on fault characteristic frequency,OBBF)。该方法先对滚动轴承故障振动信号进行包络解调,利用线调频小波路径追踪算法估计出轴承振动包络信号中的故障特征频率,再基于故障特征频率对包络信号进行等角度重采样,将非平稳的时域信号转化为平稳的角域信号;最后对重采样后的信号进行双谱分析,并取其对角切片,得出故障结论。诊断实例表明,该方法能有效地提取滚动轴承故障振动信号的特征,对滚动轴承故障进行正确的诊断。
噹滾動軸承齣現故障時,其產生的振動信號往往錶現齣較彊的非線性、非高斯和非平穩特徵。為瞭實現非平穩轉速下滾動軸承的故障診斷,提齣瞭一種基于故障特徵頻率的階比雙譜分析方法(order bispectrum analysis based on fault characteristic frequency,OBBF)。該方法先對滾動軸承故障振動信號進行包絡解調,利用線調頻小波路徑追蹤算法估計齣軸承振動包絡信號中的故障特徵頻率,再基于故障特徵頻率對包絡信號進行等角度重採樣,將非平穩的時域信號轉化為平穩的角域信號;最後對重採樣後的信號進行雙譜分析,併取其對角切片,得齣故障結論。診斷實例錶明,該方法能有效地提取滾動軸承故障振動信號的特徵,對滾動軸承故障進行正確的診斷。
당곤동축승출현고장시,기산생적진동신호왕왕표현출교강적비선성、비고사화비평은특정。위료실현비평은전속하곤동축승적고장진단,제출료일충기우고장특정빈솔적계비쌍보분석방법(order bispectrum analysis based on fault characteristic frequency,OBBF)。해방법선대곤동축승고장진동신호진행포락해조,이용선조빈소파로경추종산법고계출축승진동포락신호중적고장특정빈솔,재기우고장특정빈솔대포락신호진행등각도중채양,장비평은적시역신호전화위평은적각역신호;최후대중채양후적신호진행쌍보분석,병취기대각절편,득출고장결론。진단실례표명,해방법능유효지제취곤동축승고장진동신호적특정,대곤동축승고장진행정학적진단。
When a roller bearing fails, its vibration signal may be the nonlinear, non-Gauss and non-stationary signal. In order to diagnose the roller bearing faults under vary rotating speed, an order bispectrum analysis method based on the fault characteristic frequency is proposed and applied to the bearing fault diagnosis under non-stationary rotating speed. In the proposed method, the vibration signal of a roller bearing with fault is analyzed by envelope analysis, then the envelope signal is decomposed using the algorithm of chirplet path pursuit to get the fault characteristic frequency. Based on the fault characteristic frequency, the even angle resampling on the envelope signal of the roller bearing is carried out and the non-stationary signal in time domain is transformed into stationary signal in angle domain. Finally, the bispectral analysis on the resampled signal can be accomplished and the diagonal slice spectrum of the bispectrum can be obtained. Practical application examples have proved that the proposed method is very effective in extracting the fault features of roller bearings.