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