مقاله های علمی- دانشگاهی | قسمت 10 – پایان نامه های کارشناسی ارشد  | 
					![]()  | 
				
- 
- A.S. Cerqueira, D.D. Ferreira, M.V. Ribeiro, C.A. Duque, Power quality events recognition using a SVM-based method. Electric Power Systems Research 78 (2008) 1546–۱۵۵۲٫
 
 
- 
- A.S. Yilmaz, A. Subasi, M. Bayrak, V.M. Karsli and E. Ercelebi, Application of lifting based wavelet transforms to characterize power quality events, Energy Conversion and Management 48 (2007), 112–۱۲۳٫
 
 
- 
- A.W. Whitney, A direct method of nonparametric measurement selection. IEEE Transaction on Computers. 20 (1971) 1100–۱۱۰۳٫
 
 
- 
- B.K. Panigrahi, P.K.Dash, J.B.V. Reddy, Hybrid signal processing and machine intelligence techniques for detection, quantification and classification of power quality disturbances, Engineering Applications of Artificial Intelligence 22 (2009) 442–۴۵۴٫
 
 
- 
- C. Cortes, V. Vapnik, Support Vector Networks, Machine Learning. 20, (1995) 273–۲۹۷ .
 
 
- 
- C.R. Pinnegar, L. Mansinha, The S-transform with Windows of Arbitrary and Varying Window, Geophysics, 68 (2003) 381-385.
 
 
- 
- C.W. Lu, S.J. Huang, An application of B-spline wavelet transform for notch detection enhancement. IEEE Transactions on Power Delivery 19 (2004), 1419–۱۴۲۵٫
 
 
- 
- D. Rumelhurt and J. Mc Clelland. Parallel distributed Processing. MIT Press, Cambridge, Mass 1986.
 
 
- 
- D.F. Specht, Probabilistic Neural Networks, Neural Networks, vol. 3, pp. 109–۱۱۸, ۱۹۹۰٫
 
 
- 
- F. Zhao, R. Yang, Power quality disturbance recognition using S-transform, IEEE, Transactions on Power Delivery 22 (2007) 944–۹۵۰٫
 
 
- 
- G.M. Walid, M.E. El-Hawary, Novel power quality indices based on wavelet packet transform for non-stationary sinusoidal and non-sinusoidal disturbances, Electric Power Systems Research 80 (2010), 753-759.
 
 
- 
- G.S. Hu, F.F. Zhu, Z. Ren, Power quality disturbance identification using wavelet packet energy entropy and weighted support vector machines, Expert Systems with Applications 35 (2008) 143–۱۴۹٫
 
 
- 
- Guo-Sheng Hu, Feng-Feng Zhu, Zhen Ren. Power quality disturbance identification using wavelet packet energy entropy and weighted support vector machines. Expert Systems with Applications 35 (2008) 143–۱۴۹٫
 
 
- 
- H. Eris, Y. Demir, A new algorithm for automatic classification of power quality events based on wavelet transform and SVM. Expert Systems with Applications 37 (2010) 4094–۴۱۰۲٫
 
 
- 
- H. He, J.A. Starzyk, A self-organizing learning array system for power quality classification based on wavelet transform, IEEE Trans. Power Deliv. 21 (1) (2006) 286–۲۹۵٫
 
 
- 
- H.S. Behera, P.K. Dash,B. Biswal, Power quality time series data mining using S-transform and fuzzy expert system, Applied Soft Computing 10 (2010) 945–۹۵۵٫
 
 
- 
- I.Steinwart, A. Christmann, Support Vector Machines, New York: Springer, 2008.
 
 
- 
- J. Huang, M. Negnevitsky, D.T. Nguyen, A neural-fuzzy classifier for recognition of power quality disturbances. IEEE Transactions on Power Delivery, 17 (2002), 609–۶۱۶٫
 
 
- 
- J. Yang, V. Honavar, Feature subset selection using a genetic algorithm. IEEE Intelligent System Application 2 (1998) 44–۴۹٫
 
 
- 
- L. Mansinha, R.G. Stockwell, R.P. Lowe. Pattern Analysis with Two-dimensional Spectral Localization: Application of two dimensional S-transforms, Physica A, 239 (1997) 286–۲۹۵٫
 
 
- 
- MATLAB 7.4 Version Wavelet Toolbox, Math Works Company, Natick, MA.
 
 
- M. Uyara, , S. Yildirima, M. T. Gencoglub, An effective wavelet-based feature extraction method for classification of power quality disturbance signals, Electric Power Systems Research 78 (2008) 1747–۱۷۵۵٫
 
- 
- SOLAR ↑
 
 
- 
- Multiresolution Generalized S-transform ↑
 
 
- 
- microgrid ↑
 
 
- 
- Particle Swarm Optimization(PSO) ↑
 
 
- 
- Distributed Generation(DG) ↑
 
 
- 
- Modular Probabilistic Neural Network(MPNN) ↑
 
 
- 
- Least Square Support Vector Machinen(LS-SVMs) ↑
 
 
- 
- Total Harmonic Distortion (THD) ↑
 
 
- 
- Admissibility ↑
 
 
- 
- Translation ↑
 
 
- 
- Dilation ↑
 
 
- 
- Discrete Wavelet Transform ↑
 
 
- 
- Sub-band Coding ↑
 
 
- 
- Correlation ↑
 
 
- 
- Haar ↑
 
 
- 
- Morlet ↑
 
 
- 
- Mexican Hat ↑
 
 
- 
- Mayer ↑
 
 
- 
- Daubechies ↑
 
 
- 
- Bior ↑
 
 
- 
- Coiflet ↑
 
 
- 
- Coiflet ↑
 
 
- 
- Symlet ↑
 
 
- 
- Stockwell Transform (ST) ↑
 
 
- 
- Feed Forward Neural Network (FFNN) ↑
 
 
- 
- Radial Basis Function Network (RBFN) ↑
 
 
- 
- Probabilistic Neural Network (PNN) ↑
 
 
- 
- Support Vector Machine (SVM) ↑
 
 
- 
- Filter ↑
 
 
- 
- Wrapper ↑
 
 
- 
- Sequential Forward selection ↑
 
 
- 
- Sequential backward selection ↑
 
 
- 
- John Holland ↑
 
 
- 
- Evolutionary Algorithms ↑
 
 
- 
- ۱ Pattern recognition ↑
 
 
- 
- ۲ Description task ↑
 
 
- 
- ۳ Classification task ↑
 
 
- 
- ۱ Pure signal ↑
 
 
- 
- ۲ Sag ↑
 
 
- 
- ۳ Swell ↑
 
 
- 
- ۴ Interruption ↑
 
 
- 
- ۵ Harmonics ↑
 
 
- 
- ۶ Transient ↑
 
 
- 
- ۲ Flicker ↑
 
 
- 
- ۴۱ Multi resulution ↑
 
 
- 
- MATLAB ↑
 
 
- 
- Cross over ↑
 
 
- 
- SNR ↑
 
 
- 
- PSCAD ↑
 
 
فرم در حال بارگذاری ...
| 
 
							[پنجشنبه 1401-09-24] [ 12:28:00 ب.ظ ] 
		 | 
		


