Veri madenciliği kümeleme algoritmaları kullanarak arıza dayanımlı denetim sistemi tasarımı

Authors : Umut ALTINIŞIK, Mehmet YILDIRIM

Pages : 9-16

Doi:10.16984/saufbed.70344

View : 19 | Download : 9

Publication Date : 2013-04-01

Article Type : Research Paper

Abstract :In this study, two clustering algorithms and their success in fault isolation have been investigated in order to use in our fault tolerant control insert ignore into journalissuearticles values(FTC); system. With so many applications used today, the mathematical model of the system cannot be completely established. Therefore, in this study, fault detection and isolation insert ignore into journalissuearticles values(FDI); is realized by using knowledge-based methods, without the need for any mathematical model. Sensor data, which are taken offline by FDI, are clustered to create knowledge base by means of k-means and farthest first traversal algorithm insert ignore into journalissuearticles values(FFTA);, respectively. The results obtained by the two algorithms are compared and FFTA has found to be more successful in fault tolerance.
Keywords : Arıza dayanımlı denetim, arıza tespit ve tanılama, k means, üçlü tank, veri madenciliği