Process Fault Detection Using Hierarchical Artificial Neural Network Diagnostic Strategy
This paper focuses on the use of artificial neural network (ANN) to detect and diagnose fault in process plant. In this work, the ANN uses two layers of hierarchical diagnostic strategy. The first layer diagnoses the node where the fault originated and the second layer classifies the type of faults...
Main Authors: | Mohamad Rizza, Othman, Mohamad Wijayanuddin, Ali, Mohd Zaki, Kamsah |
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Format: | Article |
Language: | English English |
Published: |
Penerbit Universiti Teknologi Malaysia
2007
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Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/6783/ http://umpir.ump.edu.my/id/eprint/6783/ http://umpir.ump.edu.my/id/eprint/6783/1/Process_Fault_Detection.pdf http://umpir.ump.edu.my/id/eprint/6783/4/fkksa-2007-rizza-Process%20Fault%20Detection.pdf |
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