A Study on Engine Health Monitoring in the Frequency Domain
Journal article, 2011

Most of the techniques developed to date for module performance analysis rely on steady-state measurements from a single operating point to evaluate the level of deterioration of an engine. One of the major difficulties associated with this estimation problem comes from its underdetermined nature. It results from the fact that the number of health parameters exceeds the number of available sensors. Among the panel of remedies to this issue, a few authors have investigated the potential of using data collected during a transient operation of the engine. A major outcome of these studies is an improvement in the assessed health condition. The present study proposes a framework that formalizes this observation for a given class of input signals. The analysis is performed in the frequency domain, following the lines of system identification theory. More specifically, the mean-squared estimation error is shown to drastically decrease when using transient input signals. This study is conducted with an engine model representative of a commercial turbofan.

system-identification

system

least-squares

frequency domain

identification

aircraft

gas path analysis

Author

S. Borguet

University of Liège

M. Henriksson

Volvo Group

Tomas McKelvey

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

O. Leonard

University of Liège

Journal of Engineering for Gas Turbines and Power

0742-4795 (ISSN) 1528-8919 (eISSN)

Vol. 133 8 Art. no. 081604- 081604

Subject Categories

Control Engineering

Signal Processing

DOI

10.1115/1.4002832

More information

Latest update

11/23/2018