Novel in-service combustion instability detection using the chirp fourier higher order spectra

Date

2017-03-06

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Prognostics and Health Management Society

Department

Type

Article

ISSN

2153-2648

Format

Free to read from

Citation

Gelman L, Parrish C, Petrunin I, Walters M. (2017) Novel in-service combustion instability detection using the chirp fourier higher order spectra. Volume 8, Issue 1, 2017, pp. 1-8

Abstract

Combustion instabilities, known as “rumble” and “screech” are the self-excited aerodynamic instabilities in the gas turbine combustor. They cause the premature failures of the gas turbine components, and, consequently, the failure of the gas turbine as a whole. Because of the complex physical effects underlying the rumble and the screech phenomena, it is difficult to eliminate them completely at the design stage. Therefore, special attention should be paid to the detection of the combustion instabilities in the gas turbine in order to prevent its prolonged operation in this mode. There are known techniques, which are able to detect the rumble and the screech in gas turbines. Most of them do not consider the combustion instabilities as non-linear and non-stationary events and, therefore, have lower detection efficiency. Novel technique for in-service combustion instability detection is implemented in this paper. This technique overcomes the limitations of the existing solutions.

Description

Software Description

Software Language

Github

Keywords

rumble, vibration diagnosis, higher order spectra

DOI

Rights

Attribution 3.0 Unported

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Funder/s