AI System Monitors Gas Turbines at Alba's Power Station for Predictive Maintenance and Reliability

Published: Aug 03, 2026 14:20 (GMT+8)
[SMM Aluminum Express News] The Nasser Centre for Science and Technology (NCST) and Aluminium Bahrain (Alba) have developed an AI-powered monitoring system for gas turbines at Alba's Power Station 4 to support predictive maintenance and improve operational reliability. The system continuously monitors four gas turbines (GT-51, GT-52, GT-61 and GT-62), using AI to analyze compressor pressure, turbine blade cooling efficiency and other operating parameters to detect early signs of fouling, cooling-port blockages and other performance issues before they lead to unplanned failures. The platform integrates real-time operational data, historical records, AI analytics and automated alerts into a single system, enabling engineers to identify abnormal operating conditions and respond more quickly. The project forms part of Alba's broader digitalization strategy and ongoing collaboration with NCST to deploy artificial intelligence across industrial operations in Bahrain.

Data Source Statement: Except for publicly available information, all other data are processed by SMM based on publicly available information, market communication, and relying on SMM's internal database model. They are for reference only and do not constitute decision-making recommendations.

For any inquiries or for more information, please contact: lemonzhao@smm.cn
For more information on how to access our research reports, please contact:service.en@smm.cn