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Monitoring combustion unstable dynamics by means of control charts

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  • Fichera, A.
  • Pagano, A.

Abstract

Thermoacoustic instabilities in combustion chambers represent a serious threat to combustion systems, which can lead to performance degradation as well as to relevant structural damages. The nonlinearity of these phenomena represents a serious obstacle to the prediction of the evolution of the relevant system variables. The early prediction of out-of-control states in combustion chambers might represent an important step ahead in the design of accurate control system for the suppression of undesired behaviours. This study proposes the application of control charts to the prediction of out-of-control states in an experimental combustion chamber. EWMA control charts have been used because they are very useful when on line single measurements are collected from the process. In order to deal with the high level of autocorrelation characterising the deterministic nonlinear experimental measurement, the EWMA control charts have been applied to the residuals of an input-output NARMAX identification model, implemented by means of a Multilayer Perceptron artificial neural network. Obtained results show the ability of the control charts in detecting unstable combustion phenomena, pointing out the promising application of these statistical tools in the diagnostic of combustion instabilities.

Suggested Citation

  • Fichera, A. & Pagano, A., 2009. "Monitoring combustion unstable dynamics by means of control charts," Applied Energy, Elsevier, vol. 86(9), pages 1574-1581, September.
    • Handle: RePEc:eee:appene:v:86:y:2009:i:9:p:1574-1581
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    References listed on IDEAS

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    1. Cammarata, L. & Fichera, A. & Pagano, A., 2002. "Neural prediction of combustion instability," Applied Energy, Elsevier, vol. 72(2), pages 513-528, June.
    2. Fichera, A. & Losenno, C. & Pagano, A., 2001. "Experimental analysis of thermo-acoustic combustion instability," Applied Energy, Elsevier, vol. 70(2), pages 179-191, October.
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    Cited by:

    1. Wu, Gang & Lu, ZhengLi & Guan, Yiheng & Li, Yuelin & Ji, C.Z., 2018. "Characterizing nonlinear interaction between a premixed swirling flame and acoustics: Heat-driven acoustic mode switching and triggering," Energy, Elsevier, vol. 158(C), pages 546-554.
    2. Zhao, Dan & Li, Shihuai & Yang, Wenming & Zhang, Zhiguo, 2015. "Numerical investigation of the effect of distributed heat sources on heat-to-sound conversion in a T-shaped thermoacoustic system," Applied Energy, Elsevier, vol. 144(C), pages 204-213.
    3. Zhao, Dan & Li, Shen & Zhao, He, 2016. "Entropy-involved energy measure study of intrinsic thermoacoustic oscillations," Applied Energy, Elsevier, vol. 177(C), pages 570-578.
    4. Wu, Gang & Xu, Xiao & Li, S. & Ji, C., 2019. "Experimental studies of mitigating premixed flame-excited thermoacoustic oscillations in T-shaped Combustor using an electrical heater," Energy, Elsevier, vol. 174(C), pages 1276-1282.
    5. Wu, Gang & Jin, Xiao & Li, Qiangtian & Zhao, He & Ahmed, I.R. & Fu, Jianqin, 2016. "Experimental and numerical definition of the extreme heater locations in a closed-open standing wave thermoacoustic system," Applied Energy, Elsevier, vol. 182(C), pages 320-330.
    6. Li, Xinyan & Zhao, Dan & Yang, Xinglin & Wen, Huabing & Jin, Xiao & Li, Shen & Zhao, He & Xie, Changqing & Liu, Haili, 2016. "Transient growth of acoustical energy associated with mitigating thermoacoustic oscillations," Applied Energy, Elsevier, vol. 169(C), pages 481-490.
    7. Zhao, Dan & Li, Lei, 2015. "Effect of choked outlet on transient energy growth analysis of a thermoacoustic system," Applied Energy, Elsevier, vol. 160(C), pages 502-510.
    8. Zhang, Zhiguo & Zhao, Dan & Dobriyal, R. & Zheng, Youqu & Yang, Wenming, 2015. "Theoretical and experimental investigation of thermoacoustics transfer function," Applied Energy, Elsevier, vol. 154(C), pages 131-142.
    9. Wu, Gang & Lu, Zhengli & Pan, Weichen & Guan, Yiheng & Ji, C.Z., 2018. "Numerical and experimental demonstration of actively passive mitigating self-sustained thermoacoustic oscillations," Applied Energy, Elsevier, vol. 222(C), pages 257-266.
    10. Li, Shen & Li, Qiangtian & Tang, Lin & Yang, Bin & Fu, Jianqin & Clarke, C.A. & Jin, Xiao & Ji, C.Z. & Zhao, He, 2016. "Theoretical and experimental demonstration of minimizing self-excited thermoacoustic oscillations by applying anti-sound technique," Applied Energy, Elsevier, vol. 181(C), pages 399-407.
    11. Wu, Gang & Lu, Zhengli & Pan, Weichen & Guan, Yiheng & Li, Shihuai & Ji, C.Z., 2019. "Experimental demonstration of mitigating self-excited combustion oscillations using an electrical heater," Applied Energy, Elsevier, vol. 239(C), pages 331-342.

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