Predicting power equipment damage in the early stages

A predictive analytics complex of the turbo units technical structure parameters
Center for Design and Technological Innovations
Predicts financial result
Helps to reduce equipment repair costs

Eliminates losses during equipment's emergency stops

Center for Design and Technological Innovations
Under the financial support of:
RU
Breakdown prediction horizon
Average employee's work experience is 26 years
up to 88%
cost reduction from emergency shutdowns
from 12%
cost reduction of unscheduled repairs
10 years
breakdown prediction horizon
up to 88%
cost reduction from emergency shutdowns
from 12%
cost reduction of unscheduled repairs
10 years
breakdown prediction horizon
An innovative solution in predicting the turbomachines condition
The project is implemented under the financial support of:
Management decision tool
We develop software, that operates from an office computer, for determining and long-term prediction of damage as well as residual lifetime of functional units of a hydraulic turbine
We reveal the methodology and functionality of the development in our video
Technologies used in prediction
Scanning specific equipment to obtain geometric characteristics
3D scanning
Digital Twin
Construction and analysis of a unit's digital model with real operating data
N-dimensional matrix
Development of an individual equipment's n-dimensional matrix is recorded by a standard diagnostic system in response to external influences
The program is designed to calculate and predict the residual lifetime of power equipment
The methodology using data mining and big data analysis takes into consideration the individual parameters of the turbine and predictive modes of its operation
Hidraulic units
Steam turbines, compressors
It is possible to transfer the complex to rotary-blade, steam turbines and compressors, circulation and oil pumps with a capacity of 2 MW or more
The analytics complex excludes emergency repairs and shutdowns
Takes into account the individual characteristics of the units
Reveals aggregates pre-hidden defects
Identifies non-optimal operating conditions
Predicts in the ratio of income / costs
Evaluates the influence of regime factors in an express format
Due to optimal regime factors, it allows you to manage the resource
Helps to plan the necessary repairs
Allows you to create scenarios with a predicting horizon of up to 10 years
Smart assistant for experts
The analysis is performed locally at the enterprise or remotely via a computer
We demonstrate the capabilities of the software in a demo version
02
A digital image is created
06
Optimal modes of equipment operation are identified
05
Unit's condition predictions are generated
04
A matrix-type digital twin is created
03
Individual unit data are calculated
A 3D scan of the equipment is carried out
01
Companies where pilot projects have been launched
Our development is a patented and certified product
Specialists who worked on the creation of the complex
Each member of our team is certified to work at hydropower, thermal power, chemical and petrochemical industries
  • Georgievsky Nikolay
    PhD in Technical Sciences
  • Georgievskaya Evgeniya
    PhD in Physical and Technical Sciences
  • Soldatova Natalia
    Sales Director
  • Georgievsky Nikolay
    PhD in Technical Sciences
  • Georgievskaya Evgeniya
    PhD in Physical and Technical Sciences
  • Soldatova Natalia
    Sales Director
Team awards for participation in scientific events
Contact us
The project is implemented under the financial support of:
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