Mykola V. Kosterev, Volodymyr V. Litvinov, Volodymyr V. Litvinov
Comparative Analysis of the Hydrogenerator Technical State Estimation Models in Fuzzy-Information Conditions
In article developed the number of models for the hydrogenerator technical state complex estimation by using the information about technical state of its local bundles. For the models development are used Mamdani, Sugeno and Zadeh fuzzy methods. Comparison analysis of developed fuzzy models was made. This analysis showed that the most reliable result given the Mamdani model, but its efficiency is decreasing when the number of input values is much. When the number of input values is much, the most effective are Sugeno models. Obtained results are used for the hydrogenerator fault probability estimation and risk-based electric power system management organization.
hydrogenerator, technical state, fuzzy logic, Mamdani model, Sugeno model, Zadeh method
Cite this paper
Mykola V. Kosterev, Volodymyr V. Litvinov, Volodymyr V. Litvinov. (2019) Comparative Analysis of the Hydrogenerator Technical State Estimation Models in Fuzzy-Information Conditions. International Journal of Control Systems and Robotics, 4, 65-72