Tool wear monitoring in ultrasonic welding using high-order decomposition

Author:

Zerehsaz Yaser,Shao Chenhui,Jin Jionghua

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Reference16 articles.

1. Abellan-Nebot, J. V., & Subirón, F. R. (2010). A review of machining monitoring systems based on artificial intelligence process models. The International Journal of Advanced Manufacturing Technology, 47(1–4), 237–257.

2. de Lathauwer, L., de Moor, B., & Vandewalle, J. (2000). On the best rank-1 and rank-(R1, R2,., Rn) approximation of high order tensors. SIAM Journal of Matrix Analysis and Applications, 21(4), 1324–1342.

3. He, X., Cai, D., & Niyogi, P. (2005). Tensor subspace analysis, advances in neural information processing systems, 18 (NIPS). Cambridge: MIT Press.

4. Hotelling, H. (1947). Multivariate quality control. Techniques of Statistical Analysis, 1947, 114–184.

5. Jolliffe, I. (2005). Principal component analysis. New York: Wiley Online Library.

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