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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| 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/987/1/RSCE_2002_MKAH.pdf http://eprints.utm.my/id/eprint/987/ |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |