Industrial process defect classification by exploiting PCA and fuzzy logic

Hanen Chaouch
Hanen Chaouch

international conference on control and automation, pp. 379-384, 2017.

Cited by: 0|Bibtex|Views0|

Abstract:

This This paper describes a proposed monitoring approach destined for industrial process using the principal components analysis (PCA) and fuzzy logic. The aim of our work is to detect and locate defaults using PCA and then classifying the existed problems in terms of gravity using fuzzy logic. We introduce a historic data in the form of ...More

Code:

Data:

Your rating :
0

 

Tags
Comments