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3 edition of A hybrid neural network-genetic algorithm technique for aircraft engine performance diagnostics found in the catalog.

A hybrid neural network-genetic algorithm technique for aircraft engine performance diagnostics

Takahisa Kobayashi

A hybrid neural network-genetic algorithm technique for aircraft engine performance diagnostics

by Takahisa Kobayashi

  • 144 Want to read
  • 19 Currently reading

Published by National Aeronautics and Space Administration, Glenn Research Center, Available from NASA Center for Aerospace Information in [Cleveland, Ohio], Hanover, MD .
Written in English

    Subjects:
  • Neural nets.,
  • Diagnosis.,
  • Turbofan engines.,
  • Genetic algorithms.

  • Edition Notes

    Other titlesHybrid neural network genetic algorithm technique for aircraft engine performance diagnostics.
    StatementTakahisa Kobayashi, Donald L. Simon.
    Series[NASA technical memorandum] -- NASA/TM-2001-211088., ARL-TR -- 1266., NASA technical memorandum -- 211088., ARL-TR (Aberdeen Proving Ground, Md.) -- 1266.
    ContributionsSimon, Donald L., NASA Glenn Research Center.
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL18182573M

    Table of Contents Using principal 1, Year , No 4, page , 9. Gvozdenovic T., Perovic M.: Investment project management through time applying neural networks, International Journal for Quality Research, Center of quality, Faculty of Mechanical Engineering, University of Montenegro, University of Kragujevac, Vol 1, Year , No 2. Perry decides he would like to move beyond just marketing and create an actual ebusiness that acts like a search engine but focuses on only the real estate industry. The main revenue source for Perry’s ebusiness will be a charge of $50 a month for .

    An intelligent electronic appliance preferably includes a user interface, data input and/or output port, and an intelligent processor. A preferred embodiment comprises a set top box for interacting with broadband media streams, with an adaptive user interface, content-based media processing and/or media metadata processing, and telecommunications integration. Chetan, Bikash Chandra Behera, Sudarsan Ghosh and P Venkateswara Rao Application of Taguchi Method for Optimizing Material Removal Rate in Turning of En Spring Steel Yogendra Kumar and Hari Singh Process Parameter Optimization in Multi-Pass Turning Operation using Hybrid Firefly Swarm Algorithm i, and izhi Effects on.

    systems technologies and networking definitions For many years, starting in the late ’s and early ’s the phrase “Office Automation” was bantered about, describing the end of office paper-based information and the new age of all electronic information; ‘the paperless society’. While simplicity is a useful design goal, and twin-engine aeroplanes do have twice as many engine problems, the analogy is almost entirely bogus. Commercial passenger aircraft are required to have at least two engines (on different wings or nacelles) so that the aeroplane can land safely if one engine fails.


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A hybrid neural network-genetic algorithm technique for aircraft engine performance diagnostics by Takahisa Kobayashi Download PDF EPUB FB2

Kobayashi proposed a hybrid neural network-genetic algorithm technique for aircraft engine performance diagnostics [11]. Ogaji reported a fuzzy logic. Get this from a library. A hybrid neural network-genetic algorithm technique for aircraft engine performance diagnostics.

[Takahisa Kobayashi; Donald L Simon; NASA Glenn Research Center.]. Joly discussed gas-turbine diagnostics using artificial neural-networks for a high bypass ratio military turbofan engine [10].

Kobayashi proposed a hybrid neural network-genetic algorithm. In this paper, a diagnostic system based on a uniquely structured Kalman filter is developed for its application to in-flight fault detection of aircraft engine sensors.

The Kalman filter is a hybrid of a nonlinear on-board engine model (OBEM) and piecewise linear by:   User Account. Log inCited by: 1. Kobayashi T and Simon DL () A Hybrid Neural Network-Genetic Algorithm Technique for Aircraft Engine Performance Diagnostics.

In: Proceedings of the 37th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit, Salt Lake Cited by: 6. A Hybrid Algorithm of GA Wavelet-BP Neural Networks to Predict Near Space Solar Radiation. A Hybrid Neural Network-Genetic Algorithm Technique for Aircraft Engine Performance Diagnostics.

AIAA Google Scholar. Kuo, R.J.: A Sales Forecasting System Based on Fuzzy Neural Network with Initial Weights Generated by Genetic by: 1. A Hybrid Neural Network-Genetic Algorithm Technique for Aircraft Engine Performance Diagnostics,” J.

Propul. Power Identification Technique of Aircraft Gas Turbine Engine’s Health. ESDA Fuzzy Statistics Approach for Cited by: A Hybrid Neural Network-Genetic Algorithm Technique for Aircraft Engine Performance Diagnostics PDF Kindle A Love to Kill For (Heat Book 1) PDF Download A Turkish Cookbook for Beginners: Learn Delicious Turkish Cooking in Only Minutes PDF Download.

Kobayashi proposed a hybrid neural network-genetic algorithm technique for aircraft engine performance diagnostics.

Ogaji reported a fuzzy logic approach for gas turbine fault diagnostics [ 12 ]. Volponi compared the use of Kalman filter and neural network methodologies in gas turbine performance diagnostics [ 13 ].Cited by:   Hybrid neural-network genetic-algorithm technique for aircraft engine performance diagnostics.

J Propul Power ;21(4)–8. Citation Information: International Journal of Turbo & Jet-Engines, Vol Issue 4, Cited by: 2. Gas-path diagnostics is an essential part of gas turbine (GT) condition-based maintenance (CBM).

There exists extensive literature on GT gas-path diagnostics and a variety of methods have been introduced. The fundamental limitations of the conventional methods such as the inability to deal with the nonlinear engine behavior, measurement uncertainty, simultaneous Cited by: 2.

simple neural networte. hybrid neural network-genetic. fuzzy. algorithms. logic. increasing complexity. Figure Comparison of gas turbine off-design performance simulation methods [modified from Li, ] Therefore, a simple off-design performance simulation method is proposed that is based on fundamental gas turbine gasdynamics relationships.

The performance is further enhanced by using a high quality seed generated by Predict Earliest Finish Time (PEFT) algorithm which acts as a catalyst and helps the algorithm to converge faster.

The proposed approach is simulated in WorkflowSim and evaluated using various well-known different sized realistic scientific workflows. Join GitHub today. GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.

The Neuro-Fuzzy Algorithm The neuro-fuzzy algorithm developed by Wang [24] uses the hybrid model developed by Takagi-Sugeno in [3]. In this type of model, condition part uses linguistic variables and the conclusion part is represented by a numerical value which is considered a function of systems condition expressed in the variables x1,x2.

A Kadambande, S Thakur et. al., 'Predict Student Performance by Utilizing Data Mining Technique and Support Vector Machine", International Research Journal of Engineering and Technology, e-ISSN:Operating principle of ramjet engine ~various components of ramjet engines and t heir efficiencies ~Combustion in ramjet engine ~critical, subcritical and superc ritical modes of operation -ramjet engine and its performance characteristics ~s ample ramjet design calculations ~flame stability problems in ramjet combustors -integral ram rockets.

Full text of "Journal of Computer Science and Information Security IJCSIS March " See other formats. A hybrid neural-genetic algorithm for fpga segmented channel routing problems FPGAs, ASICs, constraint satisfaction problems, Hopfield Neural Networks, genetic algorithms, hybrid algorithms.

Sancho Salcedo-Sanz, Carlos Bousono-Calzon A hybrid Neural-Genetic algorithm (NG) is presented for FPGA Segmented Channel Routing problems (FSCRP). This banner text can have markup. web; books; video; audio; software; images; Toggle navigation.A desired outcome from this research effort would be a demonstration of the relevance of the tools, methods, and processes towards flight software acceptance as applied to a specific non-deterministic algorithm (e.g., neural network, genetic algorithm, fuzzy rule-based inference, etc.).

A Hybrid Neural Network-Genetic Algorithm Technique for Aircraft Engine Performance Diagnostics. NASA Technical Reports Server (NTRS) Kobayashi, Takahisa; Simon, Donald L. In this paper, a model-based diagnostic method, which utilizes Neural Networks and Genetic Algorithms, is investigated.