Abstract
A gas turbine is vulnerable to deterioration and damage in a short amount of time because of the severe operation of applying combustion gas as a driving fluid. Consequently, gas turbine management requires the application of status supervision technology in order to grasp the conditions of deterioration and damage, as well as practice adequate maintenance. This research stresses earlier detection of signs of abnormality in gas turbines. The paper reports on the results of the basic data collected in an actual gas turbine.