Intelligent supervision approach based on multilayer neural PCA and nonlinear gain scheduling-Reference-Cited by-同舟云学术

Intelligent supervision approach based on multilayer neural PCA and nonlinear gain scheduling

Published:2017-07-24 Issue:4 Volume:31 Page:1153-1163
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Chaouch H.,Charfedine S.,Ouni K.,Jerbi H.,Nabli L.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-017-3147-9.pdf

Reference30 articles.

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2. Chaouch H, Ouni K (2016) Exploiting neural PCA and fisher discriminate analysis for FDI system. Int J Adv Manuf Technol 87:1183–1191

3. Chaouch H, Ouni K, Nabli L (2016) Multi-variable process data compression and defect isolation using wavelet PCA and genetic algorithm. Int J Adv Manuf Technol. doi: 10.1007/s00170-016-9774-y

4. Alwi H, et al. (2011) Fault detection and fault-tolerant control using sliding modes. In: Advances in industrial control. Springer, chapter 2, pp 7–27

5. Jiang L (2011) Sensor fault detection and isolation using system dynamics identification techniques. Ph.D. thesis, The University of Michigan

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