Main focus of this paper is a reliable fault identification of gas turbines. The paper examines the methods of gas turbine parametric diagnosing. The nonlinear thermodynamic model describes different gradually developing faults. To identify them, the method operation is simulated in the conditions of random measurement errors, the correct and incorrect diagnostic decisions are fixed, and corresponding averaged probabilities are computed. The objectives are to verify the methods statistically, adjust them, and choose the best one which ensures the higher probability of fault correct identification. Besides the method comparison, the paper also considers a problem of classifying the various gas turbine faults. Different classification variants are presented to make more general the analysis of diagnosing process. A generalized fault classification which unites the fault descriptions from different operational regimes is also proposed and analyzed. It conserves a trustworthiness level of the previous regime dependent classification and makes the diagnosing be much more universal.

  Повний текст PDF - 414.882 Kb    Зміст випуску     Цитування публікації

  Якщо, ви не знайшли інформацію про автора(ів) публікації, маєте бажання виправити або відобразити більш докладну інформацію про науковців України запрошуємо заповнити "Анкету науковця"