WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/239,
	  title     = {Complex Condition Monitoring System of Aircraft Gas Turbine Engine},
	  author    = {A. M. Pashayev and  D. D. Askerov and  C. Ardil and  R. A. Sadiqov and  P. S. Abdullayev},
	  country	= {},
	  institution	= {},
	  abstract     = {Researches show that probability-statistical methods application, especially at the early stage of the aviation Gas Turbine Engine (GTE) technical condition diagnosing, when the flight information has property of the fuzzy, limitation and uncertainty is unfounded. Hence the efficiency of application of new technology Soft Computing at these diagnosing stages with the using of the Fuzzy Logic and Neural Networks methods is considered. According to the purpose of this problem training with high accuracy of fuzzy multiple linear and non-linear models (fuzzy regression equations) which received on the statistical fuzzy data basis is made. For GTE technical condition more adequate model making dynamics of skewness and kurtosis coefficients- changes are analysed. Researches of skewness and kurtosis coefficients values- changes show that, distributions of GTE workand output parameters of the multiple linear and non-linear generalised models at presence of noise measured (the new recursive Least Squares Method (LSM)). The developed GTE condition monitoring system provides stage-by-stage estimation of engine technical conditions. As application of the given technique the estimation of the new operating aviation engine technical condition was made.},
	    journal   = {International Journal of Aerospace and Mechanical Engineering},
	  volume    = {1},
	  number    = {11},
	  year      = {2007},
	  pages     = {689 - 695},
	  ee        = {https://publications.waset.org/pdf/239},
	  url   	= {https://publications.waset.org/vol/11},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 11, 2007},
	}