On-line condition monitoring system for high level trip water in steam Boiler's Drum
This paper presents a monitoring technique using Artificial Neural Networks (ANN) with four different training algorithms for high level water in steam boiler's drum. Four Back-Propagations neural networks multidimensional minimization algorithms have been utilized. Real time data were recorded...
| Main Authors: | Alnaimi, F.B.I., A Ali, M., Al-Kayiem, H.H., Mohamed Sahari, K.S.B. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.32268 / |
| Published: |
EDP Sciences
2014
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904988619&doi=10.1051%2fmatecconf%2f20141303011&partnerID=40&md5=fb950bebff63532b2cbef68f09a2f279 http://eprints.utp.edu.my/32268/ |
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