1. Military Vehicle Engineering Technology Research Center, Military Transportation Academy, Tianjin 300161, China;
2. Dongguan TR Bearing Co., Ltd., Dongguan 523000, China
Selecting proper parameters (center frequency and bandwidth) of a bandpass filter is crucial to resonance demodulation. However, those parameters selected by the fast kurtogram were not satisfactory; therefore, Infogram was proposed. Firstly, its concept and peculiarity were investigated. Then to compare the application effect of the Infogram with the fast kurtogram, the simulated signals with the impulsive noise and high repetition rate were designed. The Infogram was better than the fast kurtogram for identification ability of resonance frequency bands. Finally the Infogram was applied to resonance demodulation of the vibration signals of faulted bearings, and the feature parameters (fault characteristic frequency and its harmonics, sidebands, and etc.) of faulted bearings were clearly observed. The result shows the bands selected by the Infogram have two obvious advantages: fault characteristics are highlighted and fault information is rich.
夏均忠1,于明奇1,黄财2,汪治安1,吕麒鹏1. 基于Infogram的共振解调方法在滚动轴承故障特征提取中的应用[J]. 振动与冲击, 2018, 37(12): 29-34.
XIA Jun-zhong1,YU Ming-qi1,HUANG Cai2,WANG Zhi-an1,LVQi-peng1. Application of resonance demodulation in rolling bearing fault feature extraction based on Infogram. JOURNAL OF VIBRATION AND SHOCK, 2018, 37(12): 29-34.
[1] 夏均忠,刘远宏,李树珉,等. 应用Hilbert变换和ZFFT提取变速器齿轮故障特征[J]. 振动与冲击,2013,32(6):63-66.
XIA Jun-zhong,LIU Yuan-hong,LI Shu-min,et.al. Gearing fault detection using Hilbert transform and ZFFT[J]. Journal of vibration and shock, 2013, 32(6): 63-66.
[2] 周智,朱永生,张优云,等. 基于EEMD与共振解调的自适应故障诊断[J]. 振动与冲击,2013,32(2):76-80.
ZHOU Zhi,ZHU Yong-sheng,ZHANG You-yun,et. al. Adaptive fault diagnosis of rolling bearings based on EEMD and demodulated resonance[J]. Journal of vibration and shock, 2013, 32(2): 76-80.
[3] 张龙,熊国良,黄文艺. 复小波共振解调频带优化方法和新指标[J]. 机械工程学报,2015,51(3):129-138.
ZHANG Long,XIONG Guo-liang,HUANG Wen-yi. New procedure and index for the parameter optimization of complex wavelet based resonance demodulation [J]. Journal of mechanical engineering, 2015, 51(3): 129-138.
[4] Antoni J. Fast computation of the Kurtogram for the detection of transient faults[J]. Mechanical Systems and Signal Processing, 2007, 21(1): 108-124.
[5] 王宏超,陈进,董广明,等. 基于快速kurtogram算法的共振解调方法在滚动轴承故障特征提取中的应用[J]. 振动与冲击,2013,32(1):35-38.
WANG Hong-chao,CHEN Jin,DONG Gung-ming,et. al. Application of resonance demodulation in rolling bearing fault feature extraction based on fast computation of kurtogram[J]. Journal of vibration and shock, 2013, 32(1): 35-38.
[6] 张晓涛,唐力伟,王平,等. 基于SVD与Fast Kurtogram算法的滚动轴承声发射故障诊断[J]. 振动与冲击,2014,33(10):101-105.
ZHANG Xiao-tao,TANG Li-wei,WANG Ping,et. al. Acoustic emission fault diagnosis of rolling bearings based SVD and Fast Kurtogram algorithm[J]. Journal of vibration and shock, 2014, 33(10): 101-105.
[7] Lei YG,Lin J,He Z J,et al.Application of an improved kurtogram method for fault diagnosis of rolling element bearings[J]. Mechanical Systems and Signal Processing, 2011, 25(5): 1738-1749.
[8] GuoWei,Tse P W,Djordjevich A. Faulty bearing signal recovery from large noise using a hybrid method based on spectral kurtosis and ensemble empirical mode decomposition[J]. Measurement, 2012, 45(5): 1308-1322.
[9] 唐贵基,王晓龙,邓飞跃. 改进增强峭度图和增强包络谱在滚动轴承故障诊断上的应用[J]. 振动与冲击,2014,33(13):53-58.
TANG Gui-ji,WANG Xiao-long,DENG Fei-yue. Application of improved enhanced kurtogram and enhanced envelope spectrum in fault diagnosis of rolling bearings[J]. Journal of vibration and shock, 2014, 33(13): 53-58.
[10] 彭畅,柏林,刘小峰. 基于鲁棒性小波包峭度图的滚动轴承故障诊断[J]. 振动、测试与诊断,2016,36(1):11-16.
PENG Chang,BO Lin,LIU Xiao-feng. Robust wavelet transform-based kurotgram for the fault diagnostics of rolling bearing element bearing[J]. Journal of Vibration, Measurement & Diagnosis, 2016, 36(1): 11-16.
[11] Barszcz T,Jablonski A. A novel method for the optimal band selection for vibration signal demodulation and comparison with the kurtogram[J]. Mechanical Systems and Signal Processing, 2011,25(1):431-451.
[12] Wang Dong,Tse P W,Tsui KL. An enhanced Kurtogram method for fault diagnosis of rolling element bearings[J].Mechanical Systems and Signal Processing,2013,35(1-2):176-199.
[13] 代士超,郭瑜,伍星,等. 基于子频带谱峭度平均的快速谱峭度图算法改进 [J]. 振动与冲击,2015,34(7):98-102.
DAI Shi-chao,GUO Yu,WU Xing,et. al. Improvement on fast kurtogram algorithm basedon sub-frequency-band spectral kurtosis average[J]. Journal of vibration and shock, 2015, 34(7): 98-102.
[14] 马新娜,杨绍普. 典型谱峭图在共振解调方法中的应用[J]. 振动、测试与诊断,2015,35(6):1140-1144.
MA Xin-na,YANG Shao-pu. Study and application of demodulated
resonance based on Typi-kurtogram[J]. Journal of Vibration, Measurement & Diagnosis, 2015, 35(6): 1140-1144.
[15] Antoni J. The Infogram: Entropic evidence of the signature of repetitive transients[J]. Mechanical Systems and Signal Processing, 2016, 74:73-94.
[16] Li Chuan,Cabrera D,CerradaM,et al.Extractingrepetitivetransientsforrotatingmachinerydiagnosis usingmultiscaleclusteredgreyinfogram[J].Mechanical Systems and Signal Processing, 2016, 76/77: 157-173.
[17] Wang Dong. An extension of the infograms to novel Bayesian inference for bearing fault feature identification[J]. Mechanical Systems and Signal Processing , 2016, 80: 19-30.
[18] Smith W A,Randall R B.Rolling element bearing diagnostics using the Case Western Reserve University data:A benchmark study[J].Mechanical Systems and Signal Processing, 2015, 64/65: 100-131.