Open AccessDigital diagnostic complex for power turbine units equipment
Author(s) -
И. Б. Мурманский,
К. Э. Аронсон,
В. Л. Блинов,
Н. В. Желонкин,
B. E. Murmansky
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/643/1/012109
Subject(s) - reliability engineering , probabilistic logic , turbine , set (abstract data type) , computer science , steam turbine , decision tree , electric power system , power (physics) , systems engineering , engineering , industrial engineering , data mining , artificial intelligence , mechanical engineering , physics , quantum mechanics , programming language
The study is devoted to the problem formulation for creation a concept of digital complex for power turbine equipment diagnostics using a reference turbine model formed by a set of computational models of thermal and gas-dynamic processes, by diagnostic expert systems (probabilistic type and decision tree type), by functional standard characteristics and statistical models. As part of the study it is proposed to develop diagnostic methods and algorithms for characteristic malfunctions causes for various subsystems of power equipment, which will allow them to be detected at an early stage and to prevent unplanned (emergency) equipment shutdown.