Online Monitoring Recognition Theory Based on the Time Series of Chatter

Yong Xiang Jiang; Bing Du; Pan Zhang; San Peng Deng; Yu Ming Qi

doi:10.4028/www.scientific.net/AMR.819.160

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 819Online Monitoring Recognition Theory Based on the...

Online Monitoring Recognition Theory Based on the Time Series of Chatter

Abstract:

On-line monitoring recognition for machining chatter is one of the key technologies in manufacturing. Based on the nonlinear chaotic control theory, the vibration signal discrete time series for on-line monitoring indicator is studed. As in chatter the chaotic dynamics process attractor dimension is reduced, the KolmogorovSinai entropy (K-S) index is extracted to reflected the regularity of workpiece chatter, then the k-S entropy is simplified by coarse - grained entropy rate (CER), which can easily evaluated as chatter online monitoring threshold value. The milling test shows that the CER have a sharp decline when chatter occurre, and can quickly and accurately forecast chatter.

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Periodical:

Advanced Materials Research (Volume 819)

Pages:

160-164

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.819.160

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Online since:

September 2013

Authors:

Yong Xiang Jiang, Bing Du, Pan Zhang, San Peng Deng, Yu Ming Qi

Keywords:

Coarse-Grained Entropy, Cutting Chatter, K-S Entropy, On-Line Monitoring

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References

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