On-line condition monitoring system for high level trip water in steam Boiler's Drum

• Main Authors: Alnaimi, F.B.I., A Ali, M., Al-Kayiem, H.H., Mohamed Sahari, K.S.B.
• Format: Conference or Workshop Item
• Published: EDP Sciences 2014
• 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/

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...