Modeling aircraft jet engine and system identification by using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Nayyeri:2012:CCECE,
  author =       "H. Nayyeri and K. Khorasani",
  booktitle =    "25th IEEE Canadian Conference on Electrical Computer
                 Engineering (CCECE 2012)",
  title =        "Modeling aircraft jet engine and system identification
                 by using Genetic Programming",
  year =         "2012",
  abstract =     "In this paper, a new approach for discovering an
                 aircraft jet engine model is proposed by using system
                 identification and Genetic Programming (GP). The
                 relationship between the engine Exhaust Gas Temperature
                 (EGT), as a major indicator of the engine health
                 condition, and other engine parameters and operating
                 conditions corresponding to different phases of the
                 flight is modelled by using GP technique. Toward this
                 end, flight characteristics are divided into several
                 phases such as the take off and the cruise. The GP
                 scheme is then used to discover the structure of the
                 interrelations among engine parameters. This approach
                 provides an effective strategy to estimate the aircraft
                 jet engine EGT without requiring any specific
                 information on the internal engine model and
                 characteristics. The performance of the proposed
                 algorithm is demonstrated by applying it to a dual
                 spool engine data that is generated by using the Gas
                 turbine Simulation Program (GSP) software.",
  keywords =     "genetic algorithms, genetic programming, aerospace
                 computing, aircraft, digital simulation, exhaust
                 systems, gas turbines, jet engines, mechanical
                 engineering computing, EGT, GP technique, GSP, aircraft
                 jet engine modelling, dual spool engine data, engine
                 health condition, exhaust gas temperature, gas turbine
                 simulation program software, internal engine model,
                 operating conditions, system identification, Aircraft,
                 Aircraft propulsion, Atmospheric modelling, Data
                 models, Engines, Mathematical model",
  DOI =          "doi:10.1109/CCECE.2012.6334869",
  ISSN =         "0840-7789",
  notes =        "Also known as \cite{6334869}",
}

Genetic Programming entries for Seyed Hossein Nayyeri Khashayar (Kash) Khorasani

Citations