Defect diagnostics of SUAV gas turbine engine using hybrid SVM-artificial neural network method-Reference-Cited by-同舟云学术

Defect diagnostics of SUAV gas turbine engine using hybrid SVM-artificial neural network method

Published:2009-02 Issue:2 Volume:23 Page:559-568
ISSN:1738-494X
Container-title:Journal of Mechanical Science and Technology
language:en
Short-container-title:J Mech Sci Technol

Author:

Lee Sang-Myeong,Roh Tae-Seong,Choi Dong-Whan

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials

Link

http://link.springer.com/content/pdf/10.1007/s12206-008-1119-9.pdf

Reference24 articles.

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2. Suresh Sampath, Ankush Gulati, and Riti Singh, Artificial Intelligence Techniques For Gas Turbine Engine Fault Diagnostics, 38 th AIAA/ ASME/ SAE/ ASEE Joint Propulsion Conference & Exhibit, (2002).

3. Priya Alexander and Riti Singh, Gas Turbine Engine Fault Diagnostics using Fuzzy Concepts, AIAA 1 st Intelligent Systems Technical Conference, (2004).

4. Lt. Eric Suits, David H. Plemmons, Gregg R. Beitel and Robert S. Hiers III, Gas Turbine Engine Flow-field Diagnostics: Needs, Capabilities, and Proposed Development, 25 th AIAA Aerodynamic Measurement Technology and Ground Testing Conference, (2006).

5. S. Simani, C. Fantuzzi and P.R. Spina, Application of a neural network in gas turbine control sensor fault detection, Proceedings of the 1998 IEEE, International Conference on Control Applications, (1998).

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