Application of neural network techniques to fault diagnosis of a heat exchanger system
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...
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| Format: | Thesis |
| Language: | English |
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2009
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| Online Access: | http://hdl.handle.net/10356/19859 |