Active Vibration Control for Lathe Based Neural Network

Jin Hua Wang; Wen Juan Huang; Hong Yan Zhang; Yao Gang Li

doi:10.4028/www.scientific.net/AMM.84-85.183

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Prediction of Compressive Strength of Aerated Lightweight Aggregate Concrete by Artificial Neural Network
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 84-85Active Vibration Control for Lathe Based Neural...

Active Vibration Control for Lathe Based Neural Network

Abstract:

In this paper, we took lathe as the research object, and established an active vibration control system model based on neural network AVC (Active Vibration Control) system, and the Matlab simulation results showed that the AVC system can reduce vibration effectively and improve the lathe’s accuracy.

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Periodical:

Applied Mechanics and Materials (Volumes 84-85)

Pages:

183-187

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.84-85.183

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Online since:

August 2011

Authors:

Jin Hua Wang, Wen Juan Huang, Hong Yan Zhang, Yao Gang Li

Keywords:

Active Vibration Control, Lathe, Neural Network (NN)

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References

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