TY - JOUR
T1 - Rolling bearing health status assessment based on ITD-GMM method
AU - Lu, Haitao
AU - Wang, Zili
N1 - Publisher Copyright:
© JVE International Ltd. Vibroengineering Procedia 2017.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - This paper proposed a Rolling bearing health state assessment based on ITD-GMM method to fully dig the favorable information of the vibration signal from the rolling bearing with decline trend. By data analytic, the six components of vibration signal were calculated, and each component has three feature vectors. Finally, the performance of rolling bearing was quantified, and the curve of performance was acquired. The experimental results indicate that the method is feasible and effective for the assessment of rolling bearing.
AB - This paper proposed a Rolling bearing health state assessment based on ITD-GMM method to fully dig the favorable information of the vibration signal from the rolling bearing with decline trend. By data analytic, the six components of vibration signal were calculated, and each component has three feature vectors. Finally, the performance of rolling bearing was quantified, and the curve of performance was acquired. The experimental results indicate that the method is feasible and effective for the assessment of rolling bearing.
KW - Gaussian mixture model
KW - Health state assessment
KW - Intrinsic time-scale decomposition
KW - Rolling bearing
UR - https://www.scopus.com/pages/publications/85042302733
U2 - 10.21595/vp.2017.19497
DO - 10.21595/vp.2017.19497
M3 - 会议文章
AN - SCOPUS:85042302733
SN - 2345-0533
VL - 16
SP - 46
EP - 50
JO - Vibroengineering Procedia
JF - Vibroengineering Procedia
T2 - 30th International Conference on Vibroengineering
Y2 - 16 December 2017 through 17 December 2017
ER -