A novel diagnostic method based on filter bank theory for fast and accurate detection of thermoacoustic instability

Abstract This study proposes and analyzes a novel methodology that can effectively detect multi-mode combustion instability (CI) in a gas turbine combustor. The experiment is conducted in a model gas turbine combustor, and dynamic pressure (DP) and flame images are examined during the transition fro...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Seongpil Joo, Jongwun Choi, Namkeun Kim, Min Chul Lee
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/8acc70ad18fc4b288ce4250c84acddb0
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:8acc70ad18fc4b288ce4250c84acddb0
record_format	dspace
spelling	oai:doaj.org-article:8acc70ad18fc4b288ce4250c84acddb02021-12-02T10:44:14ZA novel diagnostic method based on filter bank theory for fast and accurate detection of thermoacoustic instability10.1038/s41598-020-80427-62045-2322https://doaj.org/article/8acc70ad18fc4b288ce4250c84acddb02021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-80427-6https://doaj.org/toc/2045-2322Abstract This study proposes and analyzes a novel methodology that can effectively detect multi-mode combustion instability (CI) in a gas turbine combustor. The experiment is conducted in a model gas turbine combustor, and dynamic pressure (DP) and flame images are examined during the transition from stable to unstable flame, which is driven by changing fuel compositions. As a powerful technique for early detection of CI in multi-mode as well as in single mode, a new filter bank (FB) method based on spectral analysis of DP is proposed. Sequential processing using a triangular filter with Mel-scaling and a Hamming window is applied to increase the accuracy of the FB method, and the instability criterion is determined by calculating the magnitude of FB components. The performance of the FB method is compared with that of two conventional methods that are based on the root-mean-squared DP and temporal kurtosis. From the results, the FB method shows comparable performance in detection speed, sensitivity, and accuracy with other parameters. In addition, the FB components enable the analysis of various frequencies and multi-mode frequencies. Therefore, the FB method can be considered as an additional prognosis tool to determine the multi-mode CI in a monitoring system for gas turbine combustors.Seongpil JooJongwun ChoiNamkeun KimMin Chul LeeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-17 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Seongpil Joo Jongwun Choi Namkeun Kim Min Chul Lee A novel diagnostic method based on filter bank theory for fast and accurate detection of thermoacoustic instability
description	Abstract This study proposes and analyzes a novel methodology that can effectively detect multi-mode combustion instability (CI) in a gas turbine combustor. The experiment is conducted in a model gas turbine combustor, and dynamic pressure (DP) and flame images are examined during the transition from stable to unstable flame, which is driven by changing fuel compositions. As a powerful technique for early detection of CI in multi-mode as well as in single mode, a new filter bank (FB) method based on spectral analysis of DP is proposed. Sequential processing using a triangular filter with Mel-scaling and a Hamming window is applied to increase the accuracy of the FB method, and the instability criterion is determined by calculating the magnitude of FB components. The performance of the FB method is compared with that of two conventional methods that are based on the root-mean-squared DP and temporal kurtosis. From the results, the FB method shows comparable performance in detection speed, sensitivity, and accuracy with other parameters. In addition, the FB components enable the analysis of various frequencies and multi-mode frequencies. Therefore, the FB method can be considered as an additional prognosis tool to determine the multi-mode CI in a monitoring system for gas turbine combustors.
format	article
author	Seongpil Joo Jongwun Choi Namkeun Kim Min Chul Lee
author_facet	Seongpil Joo Jongwun Choi Namkeun Kim Min Chul Lee
author_sort	Seongpil Joo
title	A novel diagnostic method based on filter bank theory for fast and accurate detection of thermoacoustic instability
title_short	A novel diagnostic method based on filter bank theory for fast and accurate detection of thermoacoustic instability
title_full	A novel diagnostic method based on filter bank theory for fast and accurate detection of thermoacoustic instability
title_fullStr	A novel diagnostic method based on filter bank theory for fast and accurate detection of thermoacoustic instability
title_full_unstemmed	A novel diagnostic method based on filter bank theory for fast and accurate detection of thermoacoustic instability
title_sort	novel diagnostic method based on filter bank theory for fast and accurate detection of thermoacoustic instability
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/8acc70ad18fc4b288ce4250c84acddb0
work_keys_str_mv	AT seongpiljoo anoveldiagnosticmethodbasedonfilterbanktheoryforfastandaccuratedetectionofthermoacousticinstability AT jongwunchoi anoveldiagnosticmethodbasedonfilterbanktheoryforfastandaccuratedetectionofthermoacousticinstability AT namkeunkim anoveldiagnosticmethodbasedonfilterbanktheoryforfastandaccuratedetectionofthermoacousticinstability AT minchullee anoveldiagnosticmethodbasedonfilterbanktheoryforfastandaccuratedetectionofthermoacousticinstability AT seongpiljoo noveldiagnosticmethodbasedonfilterbanktheoryforfastandaccuratedetectionofthermoacousticinstability AT jongwunchoi noveldiagnosticmethodbasedonfilterbanktheoryforfastandaccuratedetectionofthermoacousticinstability AT namkeunkim noveldiagnosticmethodbasedonfilterbanktheoryforfastandaccuratedetectionofthermoacousticinstability AT minchullee noveldiagnosticmethodbasedonfilterbanktheoryforfastandaccuratedetectionofthermoacousticinstability
_version_	1718396775038976000

A novel diagnostic method based on filter bank theory for fast and accurate detection of thermoacoustic instability

Ejemplares similares