Fault detection and identification using FIRFMS

By Escobet Antoni  

International Journal of General Systems, Vol. 36, Iss. 3, 2007-06 ,pp. : 347-374

Taylor & Francis Ltd

Access to resources Recommend Favorite

Non-parametric identification of continuous-time Hammerstein systems using Gaussian process model and particle swarm optimization

By Hachino Tomohiro  

Artificial Life and Robotics, Vol. 17, Iss. 1, 2012-10 ,pp. : 35-40

Springer Publishing Company

Access to resources Recommend Favorite

Erratum to: Non-parametric identification of continuous-time Hammerstein systems using Gaussian process model and particle swarm optimization

By Hachino Tomohiro  

Artificial Life and Robotics, Vol. 17, Iss. 1, 2012-10 ,pp. : 41-41

Springer Publishing Company

Access to resources Recommend Favorite

Non-linear system identification and fault detection method using RBF neural networks with set membership estimation

By Chai Wei   Qiao Junfei  

International Journal of Modelling, Identification and Control, Vol. 20, Iss. 2, 2013-08 ,pp. : 114-120

Inderscience Publishers

Access to resources Recommend Favorite

Fault detection and diagnosis using principal component analysis. Application to low pressure lost foam casting process

By Bendjama Hocine   Boucherit Mohamed Seghir   Bouhouche Salah   Bast Jurgen  

International Journal of Modelling, Identification and Control, Vol. 14, Iss. 1-2, 2011-09 ,pp. : 102-111

Inderscience Publishers

Access to resources Recommend Favorite