Intelligent Power Plant Condition Monitoring Center (IPCM CENTER)

In order to manage effectively and make timely decisions in the management of power plant equipment, Pasargad Energy Development Company (PEDC), in collaboration with Shams Pasargad Power Generation Company (a subsidiary of Pasargad Energy Development Group), aims to achieve the following objectives through the establishment of the IPCM CENTER (Intelligent Power Plant Condition Monitoring Center):

Real-Time Data Collection, Storage, and Analysis:
 Providing accurate and up-to-date data to enhance decision-making quality.

Monitoring Trends and Reviewing Alerts:
 Continuous data monitoring and appropriate alert analysis to reduce operational risks.

Timely and Rapid Decision-Making:
 Ensuring efficiency and productivity while minimizing unexpected power equipment outages.

Ensuring Achievement of Performance Indicators:
 Continuous performance evaluation and improvement to meet defined power production objectives.

Enhancing Reliability and Stability of Power Production:

Increasing power plant reliability and reducing unexpected equipment failures.

Preventing Failures and Reducing Downtime:
Continuous improvement in the value and productivity of existing assets.

These measures contribute to optimizing operations and reducing risks, helping the company achieve its developmental goals with greater efficiency and effectiveness.


Online Condition Monitoring of Rotating Equipment in power plants, particularly turbines, is a critical aspect of equipment management and maintenance. Utilizing advanced technologies, especially artificial intelligence (AI), is essential in this regard. By installing appropriate sensors and establishing communication and transmission networks, data is collected and analyzed in real time.

Key benefits of these measures include:


Performance Optimization and Preventive Measures:

Preventing imbalances between energy production and consumption while maintaining equipment stability.

Energy Consumption and Equipment Performance Optimization:

Enhancing annual power production levels.

Extending Equipment Lifespan:

Reducing frequent maintenance needs and improving productivity.

Reducing Maintenance and Repair Costs:

Timely and cost-effective repairs.

Improved Predictability and Reduced Failures:

Enhancing efficiency and lowering operational costs.

Organizational Values of IPCM Development:


Leadership in Emerging Technologies:

Achieving advanced levels in artificial intelligence technologies.

Digital Transformation to Support Balance:

Digitization and digital innovation to address energy imbalances.

The capabilities of this center are categorized
into the following three key areas:

Online Monitoring of Performance and Vibration Data for Turbines: The system enables real-time monitoring and comparison of turbine, generator, and other critical power plant equipment performance with their optimal operating conditions. If any equipment deviates from defined optimal values, the system issues necessary alerts to prevent potential failures or performance declines.

Predictive Analysis and Performance Optimization: The system accurately analyzes and forecasts the condition and performance of equipment and the power plant, particularly through simulating failure conditions and predicting maintenance requirements. Artificial intelligence (AI) algorithms are used for optimizing energy production and fuel management to reduce costs and increase efficiency.

Rapid and Timely Decision-Making Based on Real-Time Data: By providing fast and integrated access to data related to power plant performance, the system empowers managers and experts to make strategic and operational decisions effectively and promptly. This capability helps reduce downtime and enhances the overall efficiency of the power plant.

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.

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.