Predictive analytics suite for hydroturbine equipment

The predictive analytics complex for the technical condition and remaining life of hydroturbine equipment with a capacity of 20 MW and above is an innovative solution developed to ensure the reliability and efficiency of power facilities. The product provides deep analytics based on artificial intelligence and machine learning, allowing you to quickly predict component wear, plan repair activities and optimize equipment operation.

Product Features:
1. Predictive analytics
◦ The system uses machine learning algorithms to predict the technical condition and wear of hydroturbine equipment components.
◦ Predicts possible failures and malfunctions with an accuracy of up to 10 years in advance, which allows you to quickly make decisions on maintenance and repair.
2. AI without sensors
◦ Does not require the installation of additional sensors or equipment. The system operates on the basis of existing data received from existing monitoring systems and SCADA systems.
◦ Minimization of implementation and operation costs.
3. Non-destructive testing
◦ Performs equipment condition analysis without the need for physical intervention, maintaining the integrity of the structure.
◦ Increases the service life of units due to the timely detection of potential problems.
4. Residual resource assessment
◦ Provides an accurate assessment of the service life of hydroturbine equipment components.
◦ Ensures the ability to plan part replacement and modernization taking into account the actual condition.
5. Pre- and post-repair testing
◦ Records the quality of the repair work performed and ensures that the equipment is in working order after maintenance.
◦ Ensures transparency of the repair process and reduces the risk of repeated breakdowns.
6. Economic effect
◦ Reduces the likelihood of unplanned downtime and market penalties by up to 70% due to timely forecasting and work planning.
◦ Automates inventory management and procurement processes for key components (Critical Element), minimizing logistics costs.
7. Logistics support (Critical Element)
◦ Automated generation of requests for ordering critical parts and components.
◦ Purchase planning taking into account predicted wear and tear and repair needs.
8. Equipment life cycle extension
◦ Allows you to extend the service life of hydroturbine equipment through timely diagnostics and optimal planning of upgrades.
◦ Reduces costs for major repairs and equipment replacement.
9. Individual solutions
◦ Adapts to the specifics of each facility and operator requirements.
◦ Allows you to customize the analysis and forecasting parameters depending on specific operating conditions.

Product advantages:
• No need for additional equipment: Works on the basis of existing data, which significantly reduces implementation costs.
• Deep analytics: Provides a comprehensive analysis of the equipment condition with a horizon of up to 10 years.
• Risk reduction: Minimizes the likelihood of unplanned downtime and financial losses.
• Process automation: Provides automatic generation of requests for spare parts and repair planning.
• Resistance to change: Adapts to the characteristics of each facility and changing operating conditions.

Strategic advantage:

Unlike typical solutions in the field of vibration monitoring and SCADA integrations, the proposed complex:
• Does not require capital expenditures on installing additional sensors.
• Uses data that is already available to hydroelectric power plant operators.
• Provides deep predictive analytics with a long forecasting horizon.
• Reduces the risk of unplanned downtime and economic losses.

Possible uses:
• Software and analytical system: Can be implemented as software with licensed access.
• Equipment life survey and forecast service: Provided in the form of outsourcing or audit, where our specialists conduct comprehensive diagnostics and provide recommendations for optimizing equipment operation.

Target audience:
• Hydroelectric power plant operators
• Manufacturing companies with hydroturbine equipment
• Companies responsible for maintenance and repair of hydroturbines
• Energy sector management companies

The predictive analytics suite is an innovative solution for increasing the reliability and efficiency of hydroturbine equipment. It provides deep condition analysis, wear prediction and optimization of maintenance processes, which allows to significantly reduce costs and increase productivity. Due to its versatility and high forecasting accuracy, this product is becoming an indispensable tool for modern energy enterprises.