A Gas Turbine Gas Path Fault Feature Extraction Method Based on Association Network

Fault feature extraction is the key technology of fault diagnosis and health management. Aiming at the characteristics of gas turbine gas path parameters with strong coupling and complex features, a gas turbine gas path fault feature extraction method based on correlation network is proposed. The correlation analysis is carried out by using the measurement point correlation network. For the gas turbine measurement point correlation network, the typical fault data set of Marine three-shaft gas turbine gas path is taken as the research object, and the correlation matrix is calculated for the different typical gas path faults and the data under the same fault and different fault degrees. The correlation network is established, and the correlation network attribute parameters are calculated to compare the network attributes under different faults. From the perspective of correlation between parameters, it is of great significance to explore the influence of different fault modes and fault degrees on the change of network characteristic parameters for fault data feature extraction and fault diagnosis.