A method of fault diagnosis based on PCA and Bayes classification

By Principal Components Analysis (PCA) method, we can extract the main element from the fault sample set to obtain reduced feature space, which is suitable for fault diagnosis. Bayes method has shown its good classification performance in fault diagnosis, while the real-timing of this method can be...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Xiangrong Shi, Jun Liang, Lubin Ye, Bin Hu
Format:	Tagungsbericht
Sprache:	chi ; eng
Schlagworte:	Automation Chemical processes Fault diagnosis Feature extraction Industrial control Naive Bayes Classification Principal component analysis Principal Components Analysis Support vector machines TE process
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!