This paper deals with an identification procedure of gas turbine nonlinear models for monitoring and diagnostic systems. Introduction of a special time variable into a conventional thermodynamic model helps to create a model of the engine with a variable deterioration level. To identify this model, registration data of great volume and different gas turbine deterioration severity can be attracted. This ensures high accuracy of the identified model as well as quality of a baseline function that can simply be extracted from the model.