Diagnosing Faults in Power Transformers With Autoassociative Neural Networks and Mean Shift
暂无分享,去创建一个
[1] Yann-Chang Huang,et al. Evolving neural nets for fault diagnosis of power transformers , 2003 .
[2] P. J. Griffin,et al. An Artificial Neural Network Approach to Transformer Fault Diagnosis , 1996, IEEE Power Engineering Review.
[3] Vladimiro Miranda,et al. Transformer fault diagnosis based on autoassociative neural networks , 2011, 2011 16th International Conference on Intelligent System Applications to Power Systems.
[4] V. Miranda,et al. Knowledge discovery in neural networks with application to transformer failure diagnosis , 2005, IEEE Transactions on Power Systems.
[5] R.J. Marks,et al. Implicit learning in autoencoder novelty assessment , 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).
[6] Yilu Liu,et al. Rough set and fuzzy wavelet neural network integrated with least square weighted fusion algorithm based fault diagnosis research for power transformers , 2008 .
[7] J. L. Guardado,et al. A Comparative Study of Neural Network Efficiency in Power Transformers Diagnosis Using Dissolved Gas Analysis , 2001, IEEE Power Engineering Review.
[8] A. de Medeiros Martins,et al. Information Theoretic Mean Shift Algorithm , 2006, 2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing.
[9] Terence D. Sanger,et al. Optimal unsupervised learning in a single-layer linear feedforward neural network , 1989, Neural Networks.
[10] José Carlos Príncipe,et al. Advanced search algorithms for information-theoretic learning with kernel-based estimators , 2004, IEEE Transactions on Neural Networks.
[11] José Carlos Príncipe,et al. Mean shift: An information theoretic perspective , 2009, Pattern Recognit. Lett..
[12] P. J. Griffin,et al. A combined ANN and expert system tool for transformer fault diagnosis , 1998 .
[13] Sung-Soo Kim,et al. Diagnosis of Power Transformer using Fuzzy Clustering and Radial Basis Function Neural Network , 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.
[14] Xiao-Yun Sun,et al. The study of fault diagnosis model of DGA for oil-immersed transformer based on fuzzy means Kernel clustering and SVM multi-class object simplified structure , 2008, 2008 International Conference on Machine Learning and Cybernetics.
[15] E. Parzen. On Estimation of a Probability Density Function and Mode , 1962 .
[16] V. Miranda,et al. Improving the IEC table for transformer failure diagnosis with knowledge extraction from neural networks , 2005, IEEE Transactions on Power Delivery.
[17] Li Honglei,et al. Wavelet ANN based transformer fault diagnosis using gas-in-oil analysis , 2000, Proceedings of the 6th International Conference on Properties and Applications of Dielectric Materials (Cat. No.00CH36347).
[18] Cheng Haozhong,et al. Fault diagnosis of power transformer based on multi-layer SVM classifier , 2005 .
[19] Hong-Tzer Yang,et al. Adaptive fuzzy diagnosis system for dissolved gas analysis of power transformers , 1999 .
[20] Meng-Hui Wang,et al. A novel clustering algorithm based on the extension theory and genetic algorithm , 2009, Expert Syst. Appl..
[21] Raj Aggarwal,et al. Analysis of power transformer dissolved gas data using the self-organizing map , 2003 .
[22] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[23] Sheng-wei Fei,et al. Fault diagnosis of power transformer based on support vector machine with genetic algorithm , 2009, Expert Syst. Appl..
[24] Khmais Bacha,et al. Power transformer fault diagnosis based on dissolved gas analysis by support vector machine , 2012 .
[25] Terrence J. Sejnowski,et al. Sex Recognition from Faces Using Neural Networks , 1995 .
[26] Nor Ashidi Mat Isa,et al. Clustered-Hybrid Multilayer Perceptron network for pattern recognition application , 2011, Appl. Soft Comput..
[27] Kevin Tomsovic,et al. A fuzzy information approach to integrating different transformer diagnostic methods , 1993 .
[28] J. Príncipe,et al. Information-Theoretic Learning Using Renyi's Quadratic Entropy , 1999 .
[29] Nathalie Japkowicz,et al. Nonlinear Autoassociation Is Not Equivalent to PCA , 2000, Neural Computation.
[30] W.H. Tang,et al. A Probabilistic Classifier for Transformer Dissolved Gas Analysis With a Particle Swarm Optimizer , 2008, IEEE Transactions on Power Delivery.
[31] Deniz Erdogmus,et al. Generalized information potential criterion for adaptive system training , 2002, IEEE Trans. Neural Networks.
[32] M. K. Fleming,et al. Categorization of faces using unsupervised feature extraction , 1990, 1990 IJCNN International Joint Conference on Neural Networks.
[33] Michel Duval,et al. Interpretation of gas-in-oil analysis using new IEC publication 60599 and IEC TC 10 databases , 2001 .