Intelligent fault detection and diagnosis based o optimized fuzzy model for process control rig

• Main Author: Abdul Rahman, Ribhan Zafira
• Format: Thesis
• Language: English
• Published: 2014
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/77882/1/RibhanZafiraAbdulPFKE2014.pdf; http://eprints.utm.my/id/eprint/77882/; http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:98363
• Institution: Universiti Teknologi Malaysia

This thesis focuses on the application of artificial intelligent techniques in fault detection and diagnosis. Fault detection and diagnosis scheme is a technique used in supervisory systems. The function of the supervisory system is to indicate unnecessary process states and to take the most appropr...