In the paper, different gas turbine parametric diagnosing methods are analyzed on the base of trustworthiness criteria. The nonlinear gaspath thermodynamic models, random number generators, and real registration data are used for methods adjustment and verification. The achieved trustworthiness level is sufficient to recommend the examined methods for realization in automated diagnosing systems.
