Detection of sensor failure in a palm oil fractionation plant using artificial neural network
Artificial neural network by virtue of its pattern recognition capabilities has been explored to systematically detect failures in process plants. In this paper, a two-stage approach integrating a neural network dynamic estimator and a neural network fault classifier is proposed to overcome the prob...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2002
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/970/1/ICAIET_2002.pdf http://eprints.utm.my/id/eprint/970/ |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |