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Diagnosis methodology for the turbocharger groups installed on a 1Â MW internal combustion engine

Author

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  • Barelli, L.
  • Bidini, G.
  • Bonucci, F.

Abstract

The issue of internal combustion engine (ICE) diagnosis attracts great interest because modern engines need continual control of the operational status, in order to obtain high efficiency in energy conversion and accurate control of the polluting emissions. In particular, in reference to an alternative ICE of 1Â MW, the present study relates the development, through the design of neural simulators, of the turbocharger maps to reproduce the operational states characterized by new&clean conditions and allowing the evaluation of particular "health state" indices of such a module. In detail, after an experimental campaign, turbocharger fundamental characteristics referred to new&clean conditions, such as the compressor isoentropic efficiency and the mass flow elaborated by the turbine, were evaluated at different operation conditions of the alternative ICE Subsequently, the neural simulators were developed through the training and test of different neural architectures.

Suggested Citation

  • Barelli, L. & Bidini, G. & Bonucci, F., 2009. "Diagnosis methodology for the turbocharger groups installed on a 1Â MW internal combustion engine," Applied Energy, Elsevier, vol. 86(12), pages 2721-2730, December.
    • Handle: RePEc:eee:appene:v:86:y:2009:i:12:p:2721-2730
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    Citations

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    Cited by:

    1. Finn, Joshua & Wagner, John & Bassily, Hany, 2010. "Monitoring strategies for a combined cycle electric power generator," Applied Energy, Elsevier, vol. 87(8), pages 2621-2627, August.
    2. Usón, Sergio & Valero, Antonio, 2011. "Thermoeconomic diagnosis for improving the operation of energy intensive systems: Comparison of methods," Applied Energy, Elsevier, vol. 88(3), pages 699-711, March.
    3. Hountalas, D.T. & Papagiannakis, R.G. & Zovanos, G. & Antonopoulos, A., 2014. "Comparative evaluation of various methodologies to account for the effect of load variation during cylinder pressure measurement of large scale two-stroke diesel engines," Applied Energy, Elsevier, vol. 113(C), pages 1027-1042.
    4. Barelli, L. & Barluzzi, E. & Bidini, G., 2011. "Modeling of a 1Â MW cogenerative internal combustion engine for diagnostic scopes," Applied Energy, Elsevier, vol. 88(8), pages 2702-2712, August.

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