Open AccessA Diagnosis Method of Vibration Fault of Steam Turbine Based on Information Entropy and Grey Correlation Analysis
Author(s) -
Fei Chen,
Hao Cao,
Bolin Zhang,
Jilong Wei
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/714/4/042055
Subject(s) - steam turbine , vibration , entropy (arrow of time) , fault (geology) , correlation , engineering , computer science , pattern recognition (psychology) , mathematics , artificial intelligence , mechanical engineering , physics , geology , seismology , geometry , quantum mechanics
Based on the faulty signals collected from the rotor test platform, the grey correlation analysis was studied for vibration fault diagnosis of steam turbine shafting. The reference faulty matrix and the calculation model of grey correlation degree were established based on three kinds of information entropy. The analysis shows that grey correlation analysis is a useful method for fault diagnosis of shafting and can be used as a quantitative index for fault diagnosis.