Predicting power equipment damage in the early stages
A predictive analytics complex of the turbo units technical structure parameters
Under the financial support of:
Center for Design and Technological Innovations
Center for Design and Technological Innovations
Helps to reduce equipment repair costs
Eliminates losses during equipment's emergency stops
Predicts financial result
Average employee's work experience is 26 years
Breakdown prediction horizon
- up to 88%cost reduction from emergency shutdowns
- from 12%cost reduction of unscheduled repairs
- 10 yearsbreakdown prediction horizon
- up to 88%cost reduction from emergency shutdowns
- from 12%cost reduction of unscheduled repairs
- 10 yearsbreakdown prediction horizon
We reveal the methodology and functionality of the development in our video
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
An innovative solution in predicting the turbomachines condition
The project is implemented under the financial support of:
Technologies used in prediction
3D scanning
Scanning specific equipment to obtain geometric characteristics
Construction and analysis of a unit's digital model with real operating data
Digital Twin
Development of an individual equipment's n-dimensional matrix is recorded by a standard diagnostic system in response to external influences
N-dimensional matrix
The program is designed to calculate and predict the residual lifetime of power equipment
Hidraulic units
The methodology using data mining and big data analysis takes into consideration the individual parameters of the turbine and predictive modes of its operation
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
Steam turbines, compressors
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 analytics complex excludes emergency repairs and shutdowns
Takes into account the individual characteristics of the units
Evaluates the influence of regime factors in an express format
Predicts in the ratio of income / costs
Identifies non-optimal operating conditions
Reveals aggregates pre-hidden defects
Due to optimal regime factors, it allows you to manage the resource
The analysis is performed locally at the enterprise or remotely via a computer
01
A 3D scan of the equipment is carried out
A digital image is created
02
Individual unit data are calculated
03
A matrix-type digital twin is created
04
Unit's condition predictions are generated
05
Optimal modes of equipment operation are identified
06
We demonstrate the capabilities of the software in a demo version
The cost is depends on the power of the equipment. For consultation, please contact info@cdti.ru
Companies where pilot projects have been launched
Our development is a patented and certified product
Each member of our team is certified to work at hydropower, thermal power, chemical and petrochemical industries
Specialists who worked on the creation of the complex
- Georgievsky NikolayPhD in Technical Sciences
- Georgievskaya EvgeniyaPhD in Physical and Technical Sciences
- Soldatova NataliaSales Director
- Georgievsky NikolayPhD in Technical Sciences
- Georgievskaya EvgeniyaPhD in Physical and Technical Sciences
- Soldatova NataliaSales Director
Team awards for participation in scientific events
Contact us
The project is implemented under the financial support of:
Bank: JSC UNICREDIT BANK
BIC: 44030858
Correspondent account: 30101810800000000000
BIC: 44030858
Correspondent account: 30101810800000000000
Legal address:
194352, Saint Petersburg, Sergievskoe Municipal District, Prosvetsheniya Avenue, 46, Building 1, Letter A, Room 1N, Office 25
TIN: 9731050892
KPP: 780201001
OGRN: 1197746531840
Account No.: 40702810620020006912
194352, Saint Petersburg, Sergievskoe Municipal District, Prosvetsheniya Avenue, 46, Building 1, Letter A, Room 1N, Office 25
TIN: 9731050892
KPP: 780201001
OGRN: 1197746531840
Account No.: 40702810620020006912
Center for Design and Technological Innovations LLC
General Director:
Nikolay Vladimirovich Georgievsky
Phone: +7 (921) 923-73-77
Email: gendir@cdti.ru
General Director:
Nikolay Vladimirovich Georgievsky
Phone: +7 (921) 923-73-77
Email: gendir@cdti.ru
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