Investigation of combustion instability in a swirl-stabilized combustor using symbolic time series analysis

Vikram Ramanan, S. R. Chakravarthy, Soumalya Sarkar, Asok Ray

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)

    Abstract

    A laboratory-scale swirl-stabilized combustor is experimentally characterized for various configurations involving variable air flow rates and different fuel injection locations. Unsteady pressure and heat release rate measurements were obtained simultaneously in order to determine the stability map of the combustor for the experimented configurations. It is observed that a sharp rise in pressure amplitude coincides with a break in the dominant spectral content variation with the inlet Reynolds number. The time series data were analyzed by using the tools of symbolic dynamic filtering and the divergences among the outputs of each sub-class of observations were obtained as anomaly measures. In the proposed method, symbol strings are generated by partitioning the (finite-length) time series to construct a special class of probabilistic finite state automata (PFSA) that have a deterministic algebraic structure. The anomaly measures are defined based on the probabilistic state vectors distribution across each sub class. The method which is based on representing a given time series data as a set of PFSA is observed to be capable of predicting an impending combustion instability as well as to distinguish between the symbol-state distribution among various instability conditions. The measure also successfully captures changes in the thermoacoustic regime as a function of the fuel injection location.

    Original languageEnglish (US)
    Title of host publicationASME 2014 Gas Turbine India Conference, GTINDIA 2014
    PublisherAmerican Society of Mechanical Engineers
    ISBN (Electronic)9780791849644
    DOIs
    StatePublished - Jan 1 2014
    EventASME 2014 Gas Turbine India Conference, GTINDIA 2014 - New Delhi, India
    Duration: Dec 15 2014Dec 17 2014

    Publication series

    NameASME 2014 Gas Turbine India Conference, GTINDIA 2014

    Other

    OtherASME 2014 Gas Turbine India Conference, GTINDIA 2014
    CountryIndia
    CityNew Delhi
    Period12/15/1412/17/14

    Fingerprint

    Time series analysis
    Combustors
    Time series
    Fuel injection
    Finite automata
    Thermoacoustics
    Reynolds number
    Flow rate
    Air

    All Science Journal Classification (ASJC) codes

    • Mechanical Engineering
    • Aerospace Engineering
    • Fuel Technology
    • Energy Engineering and Power Technology

    Cite this

    Ramanan, V., Chakravarthy, S. R., Sarkar, S., & Ray, A. (2014). Investigation of combustion instability in a swirl-stabilized combustor using symbolic time series analysis. In ASME 2014 Gas Turbine India Conference, GTINDIA 2014 (ASME 2014 Gas Turbine India Conference, GTINDIA 2014). American Society of Mechanical Engineers. https://doi.org/10.1115/GTINDIA2014-8280
    Ramanan, Vikram ; Chakravarthy, S. R. ; Sarkar, Soumalya ; Ray, Asok. / Investigation of combustion instability in a swirl-stabilized combustor using symbolic time series analysis. ASME 2014 Gas Turbine India Conference, GTINDIA 2014. American Society of Mechanical Engineers, 2014. (ASME 2014 Gas Turbine India Conference, GTINDIA 2014).
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    abstract = "A laboratory-scale swirl-stabilized combustor is experimentally characterized for various configurations involving variable air flow rates and different fuel injection locations. Unsteady pressure and heat release rate measurements were obtained simultaneously in order to determine the stability map of the combustor for the experimented configurations. It is observed that a sharp rise in pressure amplitude coincides with a break in the dominant spectral content variation with the inlet Reynolds number. The time series data were analyzed by using the tools of symbolic dynamic filtering and the divergences among the outputs of each sub-class of observations were obtained as anomaly measures. In the proposed method, symbol strings are generated by partitioning the (finite-length) time series to construct a special class of probabilistic finite state automata (PFSA) that have a deterministic algebraic structure. The anomaly measures are defined based on the probabilistic state vectors distribution across each sub class. The method which is based on representing a given time series data as a set of PFSA is observed to be capable of predicting an impending combustion instability as well as to distinguish between the symbol-state distribution among various instability conditions. The measure also successfully captures changes in the thermoacoustic regime as a function of the fuel injection location.",
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    Ramanan, V, Chakravarthy, SR, Sarkar, S & Ray, A 2014, Investigation of combustion instability in a swirl-stabilized combustor using symbolic time series analysis. in ASME 2014 Gas Turbine India Conference, GTINDIA 2014. ASME 2014 Gas Turbine India Conference, GTINDIA 2014, American Society of Mechanical Engineers, ASME 2014 Gas Turbine India Conference, GTINDIA 2014, New Delhi, India, 12/15/14. https://doi.org/10.1115/GTINDIA2014-8280

    Investigation of combustion instability in a swirl-stabilized combustor using symbolic time series analysis. / Ramanan, Vikram; Chakravarthy, S. R.; Sarkar, Soumalya; Ray, Asok.

    ASME 2014 Gas Turbine India Conference, GTINDIA 2014. American Society of Mechanical Engineers, 2014. (ASME 2014 Gas Turbine India Conference, GTINDIA 2014).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    AB - A laboratory-scale swirl-stabilized combustor is experimentally characterized for various configurations involving variable air flow rates and different fuel injection locations. Unsteady pressure and heat release rate measurements were obtained simultaneously in order to determine the stability map of the combustor for the experimented configurations. It is observed that a sharp rise in pressure amplitude coincides with a break in the dominant spectral content variation with the inlet Reynolds number. The time series data were analyzed by using the tools of symbolic dynamic filtering and the divergences among the outputs of each sub-class of observations were obtained as anomaly measures. In the proposed method, symbol strings are generated by partitioning the (finite-length) time series to construct a special class of probabilistic finite state automata (PFSA) that have a deterministic algebraic structure. The anomaly measures are defined based on the probabilistic state vectors distribution across each sub class. The method which is based on representing a given time series data as a set of PFSA is observed to be capable of predicting an impending combustion instability as well as to distinguish between the symbol-state distribution among various instability conditions. The measure also successfully captures changes in the thermoacoustic regime as a function of the fuel injection location.

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    Ramanan V, Chakravarthy SR, Sarkar S, Ray A. Investigation of combustion instability in a swirl-stabilized combustor using symbolic time series analysis. In ASME 2014 Gas Turbine India Conference, GTINDIA 2014. American Society of Mechanical Engineers. 2014. (ASME 2014 Gas Turbine India Conference, GTINDIA 2014). https://doi.org/10.1115/GTINDIA2014-8280