New monitoring method based principal component analysis and fuzzy clustering

International Journal of Physical Sciences

Khaled Ouni¹ 

关键词: Fuzzy clustering;    fault detection;    fault location;    principal component analysis (PCA).;   

DOI  :  10.5897/IJPS12.242

学科分类：物理（综合）

来源: Academic Journals

【 摘 要 】

This work concerns the principal component analysis applied to the supervision of quality parameters of the flour production line. Our contribution lies in the combined use of the principal component analysis technique and the clustering algorithms in the field of production system diagnosis. This approach allows detecting and locating the system defects, based on the drifts of the product quality parameters. A comparative study between the classification performance by clustering algorithms and the principal component analysis has been proposed. Locating parameters in defect is based on the technique of fault direction in partial least square.

【 授权许可】

CC BY