Research on mechanical vibration intensity prediction based on FVS-ARMA model
[1]Han Jie,Wu Yanzhao,Chen Lei,et al.Research on mechanical vibration intensity prediction based on FVS-ARMA model[J].Journal of Zhengzhou University (Engineering Science),2016,37(06):43-47.[doi:10.13705/j.issn.1671-6833.2016.06.024]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
37卷
Number of periods:
2016 06
Page number:
43-47
Column:
Public date:
2016-12-31
- Title:
- Research on mechanical vibration intensity prediction based on FVS-ARMA model
- Keywords:
-
full vector spectrum; ARMA model; strength prediction; information fusion; time-series forecas-ting method
- CLC:
- -
- DOI:
- 10.13705/j.issn.1671-6833.2016.06.024
- Abstract:
- Considering incomplete vibration information that leading to poor consistency of predictive results, single-channel prediction method cannot realize accurate prediction of machine fault. While by obtaining spec-tral structure with unique characteristics, full vector spectrum ( FVS) can well make up for the deficiency of single-channel. Further the prediction method of FVS-ARMA model was proposed in this paper, which com-bined ARMA model with full vector spectrum technology. It was applied to predict the mechanical vibration strength. Experiments showed that prediction results of this method were identical to the practical effects.
- References:
- -
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