Condition recognition model based on multi-source information fusion for high-end CNC equipment

被引：0
|
作者：
Wang H. [1 ,2 ]
Gu Y. [2 ]
Wang M. [1 ]
Zhao C. [1 ]
机构：
[1] School of Mechanical and Electrical Engineering, Beijing Information Science and Technology University, Beijing
[2] Key Laboratory of Modern Measurement and Control Technology, Ministry of Education, Beijing Information Science and Technology University, Beijing
来源：
Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument | 2018年 / 39卷 / 04期
关键词：
Condition recognition model; Fusion; High-end CNC equipment; Multi-source information;
D O I：
10.19650/j.cnki.cjsi.J1702722
中图分类号：
学科分类号：
摘要：
In order to perform running condition real time monitoring and effective perception of high-end CNC equipment and realize effective identification and judgement of the working condition, a condition recognition model based on running condition multi-source multi-domain space information fusion is proposed. The similarity of the proliferation manifold is adopted to carry out condition recognition. Firstly, the vibration and current signals of the high-end equipment are fused. Then, the features of the fused signal are acquired in time domain, frequency domain and time-frequency domain; the multi-domain high-dimensional phase space of the initial characteristics is reconstructed. The local linear embedded structure is adopted to perform dimension reduction, the intrinsic dimensionality is optimized; and the distance criterion is adopted to obtain the low dimension sensitive features. The proliferation similarity parameters of low-dimensional manifold characteristics are constructed and used to recognize different working conditions of the equipment. Finally, the model was applied in the spindle test platform as well as a certain vertical machining center to conduct test verification, and different spindle conditions were recognized fast, effectively and conveniently. The results verify the effectiveness of the model. © 2018, Science Press. All right reserved.
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页码：61 / 66
页数：5
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