Development of prescriptive analytics system for gas-turbine engine
Started:
3rd December 2019
3rd December 2019
Finished:
30th September 2020
30th September 2020
Funding:
Ministry of Science and Education financing
Ministry of Science and Education financing
Project Leader
Project's team
About
Development of prescriptive analytics software system for electrogenerating equipment based on gas-turbine engine using physical modeling and machine learning algorithms
The following works were performed at the expense of the grant (30 million rubles):
Analytical review of modern scientific and technical literature affecting the scientific and technical problem
Development of mathematical model of high pressure turbine blade.
Development of research test program and methods
to determine the dynamic characteristics of the high pressure turbine blade, including verification of the mathematical model of the blade.
to determine the dynamic characteristics of the high pressure turbine blade, including verification of the mathematical model of the blade.
Research tests of the the high pressure turbine blade provided by the Industrial Partner using the scanning laser Doppler vibrometry method, including verification of the mathematical model of the blade.
Patent studies according to GOST R 15.011-96.
Development of a set of mathematical models of functional subsystems of gas turbine power plant.
Development of algorithms for identification of faults in the operation of GTES subsystems.
Development of nomenclature of parameters of technical condition of gas turbine power plant subsystems for use in development of procedure for prediction of technical condition of gas turbine power plant subsystems.
Development of procedure for prediction of technical condition of gas turbine power plant subsystems.
Development of MPS software.
Development of program and methodology of research tests of MPS software, including verification of developed algorithms for identification of failures in operation of gas turbine power plant subsystems, mathematical functional models of gas turbine power plant subsystems and methods for prediction of technical condition of gas turbine power plant subsystems.
Research tests of MPS software, including verification of developed algorithms for identifying faults in the functioning of gas turbine power plant subsystems, mathematical functional models of gas turbine power plant subsystems and methods for predicting the technical state of gas turbine power plant subsystems.
Development and verification of the procedure for development of a map of possible scenarios for selection of the type of technical impacts on gas turbine power plant subsystems.
Development of technical assignment on the topic "Development of a prototype of a system for monitoring and forecasting the state of gas turbine electrogenerating equipment."
Comparative assessment of the scientific and technical level of the obtained results with the modern scientific and technical level of similar studies and existing systems.
Development of proposals for implementation of MPS software by the Industrial Partner.
Results
In this project methodology and software system for predicting failures of gas turbine electrogenerating equipment were developed. System was tested and implemented in the work process of industrial partner "Mobile GTES"
Publications