Fault detection and diagnosis for continuous stirred tank reactor using neural network

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Fault detection and diagnosis for continuous stirred tank reactor using neural network

The paper focuses on the application of neural network techniques in fault detection and diagnosis. The objective of this paper is to detect and diagnose the faults to a continuous stirred tank reactor (CSTR). Fault detection is performed by using the error signals, where when error signal is zero o...

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Bibliographic Details
Main Authors:	Abdul Rahman, Ribhan Zafira, Che Soh, Azura, Muhammad, Noor Fadzlina
Format:	Article
Language:	English
Published:	Kathmandu University 2010
Online Access:	http://psasir.upm.edu.my/id/eprint/14734/ http://psasir.upm.edu.my/id/eprint/14734/1/Fault%20detection%20and%20diagnosis%20for%20continuous%20stirred%20tank%20reactor%20using%20neural%20network.pdf

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