The following programs are being developed at the IPCM center:
Utilizing Artificial Intelligence and Machine Learning for Failure Prediction: By using machine learning algorithms and analyzing past data, it is possible to achieve more accurate predictions of failures, anomalies, and even preventive maintenance needs. These systems can simulate abnormal trends based on past data and send timely alerts.
Energy Management and Fuel Consumption Optimization with Intelligent Algorithms: AI algorithms can be used to optimize energy consumption and production, increasing power plant efficiency and reducing operational costs.
Creating Analytical Dashboards for Timely Decision-Making: For managers and operators, having visual analytical dashboards that display integrated information and power plant status is very useful. These dashboards can comprehensively display information such as equipment performance, failure predictions, energy production trends, and safety status.
Enhancing Cybersecurity: Advanced cybersecurity systems must be used to protect data and intelligent power plant systems. These systems can prevent cyber-attacks and unauthorized access to sensitive information.
Big Data Analytics for Performance Optimization: By collecting and analyzing a large amount of operational and equipment vibration data, new optimization patterns can be discovered, leading to improvements in energy consumption, downtime, and overall plant efficiency. Additionally, big data analytics helps identify weaknesses and enhance efficiency.