روش جدید پایش نوک پره توربین با استفاده از سنسور مایکروویو و الگوریتم کلاسه‌بندی K نزدیک‌ترین همسایه (k-NN)

[1]    Z. Jilong, D. Fajie, Niu. Guangyue, J. Jiajia and L. Jie, “A blade tip timing method based on a microwave sensor,” MDPI Physical Sensors Journal, vol. 17, 11 May 2017.

[2]    V. Naga Bhushana Rao, IN. Niranjan Kumar and K. Bala Prasad, “Failure analysis of gas turbine blades in a gas turbine engine used for marine applications,” International Journal of Engineering, Science and Technology, vol. 6, no. 1, pp. 43-48, 2014.

[3]    R. Dewangan, J. Patel, J. Dubey, P. Kumar Sen and S. K. Bohidar, “Gas turbines blades a critical review of failure on first and second stages,” International Journal of  Mechanical Engineering and Robotics Research, vol. 4, no. 1, January 2015.

[4]    N. singh Grewal, Gas Turbine Engine Performance Deterioration Modelling and Analysis, Ph.D. Thesis, Cranfield Institute of Technology, School of Mechanical Engineering, February 1988.

[5]    N. Goel, A. Kumar, V. Narasimhan, A. Nayak, and A. Srivastava, “Health risk assessment and prognosis of gas turbine blades by simulation and statistical methods,”  Conference on Electrical and Computer engineering, Canadian, pp. 1087–1091, 2008.

[6]    M. R. Woike, J. W. Roeder, C. E. Hughes, and T. J. Bencic, “Testing of a microwave blade tip clearance sensor at the NASA Glenn research center,” 47th AIAA Aerospace Sciences Meeting, Orlando, Florida, 5-8 January, 2009.

[7]    A. Dutta, Shivangi and J. Valarmathi, “Blade tip clearance measurement using microwave sensing system,” International Journal of Recent advances in Mechanical Engineering (IJMECH), vol. 4, no. 2, 2015.

[8] مریم دهقانی و مرتضی خرّم کشکولی، »تشخیص، شناسایی و جداسازی عیب توربین گاز پالایشگاه دوم پارس جنوبی با استفاده از روشهای ترکیبی داده‌کاوی،means-k ، تحلیل مؤلفه‌های اصلی (PCA) و ماشین بردار پشتیبان(SVM) »، مجله علمی پژوهشی مهندسی برق دانشگاه تبریز، دوره 47،شماره2 ، صفحه 515-501، 1396.

[9]     T. Arthur Holst, Analysis of spatial filtering in phase-based microwave measurements of turbine Blade Tips, M.S. Thesis, Academic Faculty by Georgia Institute of Technology, August 2005.

[10]     A. Schicht, K. Huber, A. Ziroff, M. Willsch and L. Schmidt, “Absolute phase-based distance measurement for industrial monitoring systems,” IEEE Sensor Journal, vol. 9, no. 9, September 2009.

[11]     Z. Li, C. Soutis, A. Haigh,  R. Sloan,  A. Gibson and  N.  Karimian, “Microwave imaging for delamination detection in T- joints of wind turbine composite blades,” in 46th European Microwave IEEE Conference, pp. 1235 – 1238, 2016.

[12]     J. Geisheimer, S. Billington, T. Holst and D. Burgess, “Performance testing of a microwave tip clearance sensor,” in Proceedings of the AIAA Joint Propulsion Conference, Tucson, AZ, USA, 10–13 July 2005.

[13]     Alexander, M. Mikhail and B. Maksim, “Microwave blade tip clearance measurements principles, current practices and future opportunities,” Turbine Technical Conference and Exposition, Copenhagen, Denmark, June 2012.

[14]     M. Violetti, Q. Xu, O. Hochreutiner and A.K.  Skrivervik, “New microwave sensor for on-line blade tip timingin gas and steam turbines,” in Proceedings of the Asia-Pacific Microwave Conference, Taiwan, pp. 1055–1057, December 2012.

[15]     M. Violetti, J.F. Zurcher, J. Geisheimer and A.K. Skrivervik, “Design of antenna based sensors for blade tip clearance measurement in gas turbines,” in IEEE Conference, Barcelona, Spain ,pp. 1-4, 2010.

[16]     Y. Han, C. Zhong, X. Zhu and J. Zhe, “Online monitoring of dynamic tip clearance of turbine blades in high temperature environments,” in Measurement Science and Technology, vol. 29, pp. 1-13, 26 February 2018.

[17]     J. Miguel, J. Zubia and G. Aranguren, “Architecture for Measuring Blade Tip Clearance and Time of Arrival with Multiple Sensors in Airplane Engines,” International Journal of Aerospace Engineering, vol. 2018, May 2018.

[18]     D. Zhai, M. Xie, J. Yuan and S. Liu, “Application of high level synthesis in the blade tip clearance measurement system,” in IEEE BioMedical Engineering and Informatics Conferences, pp. 1-5, 2018.

[19]     L. Jiang, C. Xue, J. Cui, M. Yu, X. Pu and J. Shi, “Research recognition of aircraft engine abnormal state,”  in IEEE Control and Decision Conference, China, May 2015.

[20]     M. Violetti, A.K. Skrivervik, Q. Xu, J. Geisheimer and G. Egger, Device and Method for Monitoring Rotor Blades of a Turbine, European Patent Application no. 11181622, Sept. 16, 2011.

[21]     R. Szczepanik, R. Przysowa, J. Spychala, E. Rokicki, K. Kamierczak and P. Majewski, Thermal Power Plants:  Application of Blade Tip Sensors to Blade Vibration Monitoring in Gas Turbines, Poland Air Force Institute of Technology, InTech, pp. 145-175, 2012.

[22]     A.K. Zimmer, Investigation of the Impact of Turbine Blade Geometry on Near-field Microwave Blade Tip Time of Arrival Measurements, M.S Thesis, Daniel Guggenheim School of Aerospace Engineering, Georgia Institute of Technology, December 2008.

[23]     P. Wade, W1GHZ Online Microwave AntennaBook, Available:http://www.w1ghz.org/antbook/contents.htm/Understanding Circular Waveguide Experimentally, Jan/Feb 2001.

[24]     P.A. Rizzi, Microwave engineering passive circuits, Microwave resonator and filters, Latest Edition, PHI Learning, pp. 427-438, 2004.

[25]     J.G. Pollock, Analysis and Design of A New Class of Miniaturized Circular Waveguides Containing Anisotropic Metamaterial Liners, Ph.D. Thesis, Department of electrical and computer engineering university of Alberta, 2016.

[26]     W.W.S. Lee and E.K.N. Yung, “The input impedance of a coaxial line fed probe in a cylindrical waveguide” IEEE Transactions on Microwave Theory and Techniques, vol. 42, no. 8, August 1994.

[27]     X. Li and Y. Jiang, Design of a Cylindrical Cavity Resonator for Measurements of Electrical Properties of Dielectric Materials, Master Thesis, University of Gavle, Department of Technology, September, 2010.

[28]     D. M. Pozar, Microwave Network Analysis: in Microwave Engineering, 3rd edn, Wesley Publishing, pp. 220-240, 2005.

[29]     Maier, C. Leonard, Field Strength Measurements in Resonant Cavities, Research Laboratory of Electronics, Massachusetts Institute of Technology, Technical Report No.143, November 1949.

[30]     L.J. Wang, X.L. Wang and Q. C. Chen, “GA-based feature subset clustering for combination of multiple nearest neighbors classifiers,” in Machine Learning and Cybernetics Conference, Guangzhou, China, vol. 5, pp. 2982–2987, see also pp. 18–21, August 2005.

[31]     T. M. Cover and P.E. Hart, “Nearest neighbor pattern classification,” IEEE Transactions on Information Theory, vol. 13, no. 1, pp. 21–27, 1967.

[32]     B. K. Panigrahi, V. R. Pandi, “Optimal feature selection for classification of power quality disturbances using wavelet packet-based fuzzy k-nearest neighbour algorithm,” IET Gener. Transm & Distribution Journal, vol. 3, no. 3, pp. 296–306, 2009.

[33]   مهرداد حیدری ارجلو، سید قدرت‌الله سیف‌السادات و مرتضی رزاز،» یک روش هوشمند تشخیص جزیره در شبکه توزیع دارای تولیدات پراکنده مبتنی بر تبدیل موجک و –k نزدیک‌ترین همسایگی(KNN)»، مجله علمی پژوهشی مهندسی برق دانشگاه تبریز، دوره 43، شماره1 ، صفحه 26-15، 1392.

[34]     P. Parveen and B. Thuraisingham, “Face recognition using multiple classifiers,” in Conference on Tools with Artificial Intelligence, Arlington, Virginia, pp. 179-186, 2006.

[35]     S.A. Dudani, “The distance-weighted k-nearest-neighbor rule,”  IEEE Transactions on Systems, vol. SMC-6, no. 4, pp. 325–327, April 1976.

[36]     L. J. Wang, X. L. Wang and Q. C. Chen, “Combination of multiple k-NNCS by fuzzy integral,” in Conference on Machine Learning and Cybernetics, pp. 1774–1778, August 2006.

[37]     M.A. Hejazi, G.B. Gharehpetian, G. Moradi, H.A. Alehosseini and M. Mohammadi, ”Online monitoring of transformer winding axial displacement and its extent using scattering parameters and k-nearest neighbour method,” IET Gen. Trans& Distribution Journal, vol. 5, no. 8, pp. 824 - 832, , August 2011.