Generator thermal sensitivity analysis with Support Vector Regression

Generator thermal sensitivity issue is studied in this paper. Currently, thermal sensitivity test is usually adopted in industries to determine if a generator has been experiencing thermal sensitivity problem. However, this kind of tests has its own disadvantages. In this paper, Support Vector Regression is utilized to provide some valuable information regarding thermal sensitivity in a rotating machine based on the normal operational data of the machine. Experimental results on the steam turbine generators show that the proposed method can be used to track the generator condition related to the thermal effects and make a recommendation to the on-site engineers whether or not a thermal sensitivity test should be performed.