DEFECT CLASSIFICATION IN NONLINEAR SYSTEMS USING SELF-ORGANIZING MAPS

• Published in: Journal of nature science and sustainable technology Vol. 9; no. 1; p. 45
• Main Authors: Boudebbouz, B, Manssouri, I, Ghanou, Y, Manssouri, T
• Format: Journal Article
• Language: English
• Published: Hauppauge Nova Science Publishers, Inc 01.01.2015
• Subjects: Clustering; Fault diagnosis; Neural networks; Nonlinear systems

The present work describes a new approach to the detection and diagnosis of functional defects within a nonlinear system highly unstable. The highly unstable nonlinear system is a distillation column of methylcyclohexane from a toluene / methylcyclohexane, which mass composition was defined to 23% i...