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.
• Other Authors: 58027086700
• Format: Conference Paper
• Published: EDP Sciences 2023
• Institution: Universiti Tenaga Nasional

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...