Artificial neural network for anomalies detection in distillation column
Early detection of anomalies can assist to avoid major losses in term of product degradation, machines’ damages as well as human health issues. This research aims to use Artificial Neural Network to recognize anomalies in the distillation column. The pilot scale distillation column for the ethanol-w...
| Main Authors: | Taqvi, S.A., Tufa, L.D., Zabiri, H., Mahadzir, S., Shah Maulud, A., Uddin, F. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.20267 / |
| Published: |
Springer Verlag
2017
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028959028&doi=10.1007%2f978-981-10-6463-0_26&partnerID=40&md5=980c6b5bb27fd10ef7e69935e938799c http://eprints.utp.edu.my/20267/ |
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