Fault Detection and Diagnosis in Process Data Using Support Vector Machines

For the complex industrial process, it has become increasingly challenging to effectively diagnose complicated faults. In this paper, a combined measure of the original Support Vector Machine (SVM) and Principal Component Analysis (PCA) is provided to carry out the fault classification, and compare...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Fang Wu, Shen Yin, Hamid Reza Karimi
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: Wiley 2014-01-01
Sarja:Journal of Applied Mathematics
Linkit:http://dx.doi.org/10.1155/2014/732104