$Detection of multiple sensor faults in a palm oil fractionation plant using artificial neural network$
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Detection of multiple sensor faults in a palm oil fractionation plant using artificial neural network

Given the universal approximation properties, simplicity as well its intrinsic analogy to the non-linear state space form, a recurrent Elman network is derived and applied as process predictor for fault detection in process plants. In this paper, a two-stage scheme integrating a neural Elman network...

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Bibliographic Details
Main Authors:	Ahmad, Arshad, Abd. Hamid, Mohd. Kamaruddin
Format:	Conference or Workshop Item
Language:	English
Published:	2002
Subjects:	TP Chemical technology
Online Access:	http://eprints.utm.my/987/ http://eprints.utm.my/987/1/RSCE_2002_MKAH.pdf

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