Application of neural network techniques to fault diagnosis of a heat exchanger system

• Main Author: Woon, Kok Meng.
• Other Authors: Ho, Hiang Kwee
• Format: Theses and Dissertations
• Language: English
• Published: 2009
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
• Online Access: http://hdl.handle.net/10356/19859
• Institution: Nanyang Technological University

Artificial neural networks, by their superior pattern-recognition ability, are well-suited for developing intelligent diagnostic tools for complex processes such as process plant operation. Fault diagnosis in a cross-flow tubular heat exchanger system is carried out by using three different paradigm...