Vibration Control of Block Forming Machine Based on an Artificial Neural Network
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-540-72383-7_28
Reference11 articles.
1. Ahn, K.G., Pahk, H.J., Jung, M.Y.: A hybrid-type active vibration isolation system using neural networks. Journal of Sound and Vibration 192, 793–805 (1996)
2. Liu, X.Q., Zhang, H.Y.: Fault Detection and Diagnosis of Permanent-Magnet DC Motor Based on Parameter Estimation and Neural Network. IEEE Transaction on Industrial Electronics 47, 1021–1030 (2000)
3. Chen, Q., Chan, Y.W., Worden, K.: Structural fault diagnosis and isolation using neural networks based on response-only data. Computers and Structures 81, 2165–2172 (2003)
4. Zhang, C.L., Mei, D.Q., Chen, Z.C.: Active vibration isolation of a micro-manufacturing platform based on a neural network. Journal of Materials Processing Technology 129, 634–639 (2002)
5. Zhang, L., Fu, Y.L., He, L.: A New Active Vibration Isolation Control Method Based on CMAC Neural Network. In: IEEE International Conference on Industrial Technology, pp. 1280–1282 (2005)
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