Research on hoisting skill level of hydro turbine rotor based on human brain cognitive behavior

The primary purpose of the study is to distinguish the differences in operating levels of hydro turbine rotor hoisting between novice and experienced operators from the viewpoint of human cognitive behavior. This study utilized the characteristics of electroencephalogram (EEG) signals and employed the Multi-scale Residual Shrinkage Network (MS-RSN) method to investigate the differences in operational proficiency among personnel with different levels of operational experience. The research results show that EEG signals can effectively reflect the proficiency of the operator. The MS-RSN method shows high accuracy in identifying the operator's hoisting proficiency, with an accuracy rate of 98.66%.