The use of statistical inference to monitoring the condition of a turbofan subject to small unsteady changes of the operating conditions is investigated. The application of this approach to a Gas Path Analysis dynamic model of the machine allows for the solution of the typical nondeterministic problem of evaluating the degraded status of aircraft engines. The engine condition can be inferred in terms of probability density functions with a high level of confidence from the limited and possibly inaccurate data provided by the sensors usually available in aeronautical applications. The results illustrate the influence of different measurement choices and accuracy on the capability of the method of identifying the degradations or malfunctions of engine components.
A Statistical Inference Approach to Gas Path Analysis of a Turbofan
D'AGOSTINO, LUCA
1998-01-01
Abstract
The use of statistical inference to monitoring the condition of a turbofan subject to small unsteady changes of the operating conditions is investigated. The application of this approach to a Gas Path Analysis dynamic model of the machine allows for the solution of the typical nondeterministic problem of evaluating the degraded status of aircraft engines. The engine condition can be inferred in terms of probability density functions with a high level of confidence from the limited and possibly inaccurate data provided by the sensors usually available in aeronautical applications. The results illustrate the influence of different measurement choices and accuracy on the capability of the method of identifying the degradations or malfunctions of engine components.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
