Condition monitoring and assessment of power transformers using computational intelligence. W.H. Tang, Q.H. Wu. Springer, London (2011).

[1]  P. J. Griffin,et al.  A combined ANN and expert system tool for transformer fault diagnosis , 1998, IEEE Power Engineering Society. 1999 Winter Meeting (Cat. No.99CH36233).

[2]  James R. McDonald,et al.  The use of artificial neural networks for condition monitoring of electrical power transformers , 1998, Neurocomputing.

[3]  S.D.J. McArthur,et al.  The design of a multi-agent transformer condition monitoring system , 2004, IEEE Transactions on Power Systems.

[4]  Kimon P. Valavanis,et al.  A Systematic Stochastic Petri Net Based Methodology for Transformer Fault Diagnosis and Repair Actions , 2006, J. Intell. Robotic Syst..

[5]  Z.D. Wang,et al.  Winding movement in power transformers: a comparison of FRA measurement connection methods , 2006, IEEE Transactions on Dielectrics and Electrical Insulation.

[6]  Boming Zhang,et al.  A time-varying transformer outage model for on-line operational risk assessment , 2011 .

[7]  I. J. Kemp,et al.  Partial discharge plant-monitoring technology: present and future developments , 1995 .

[8]  T. Poyser An On-Line Microprocessor Based Transformer Analysis System to Improve the Availability and Utilization Of Power Transformers , 1983, IEEE Transactions on Power Apparatus and Systems.

[9]  C. Bengtsson,et al.  Status and trends in transformer monitoring , 1996 .

[10]  J. J. Kelly Transformer Fault Diagnosis by Dissolved-Gas Analysis , 1980, IEEE Transactions on Industry Applications.

[11]  Y. C. Huang,et al.  Evolving Wavelet Networks for Power Transformer Condition Monitoring , 2002, IEEE Power Engineering Review.

[12]  Chin E. Lin,et al.  An expert system for transformer fault diagnosis using dissolved gas analysis , 1993 .

[13]  R. Rogers IEEE and IEC Codes to Interpret Incipient Faults in Transformers, Using Gas in Oil Analysis , 1978, IEEE Transactions on Electrical Insulation.

[14]  W.H. Tang,et al.  A Probabilistic Classifier for Transformer Dissolved Gas Analysis With a Particle Swarm Optimizer , 2008, IEEE Transactions on Power Delivery.

[15]  V. Miranda,et al.  An interpretation of neural networks as inference engines with application to transformer failure diagnosis , 2004, 2004 International Conference on Probabilistic Methods Applied to Power Systems.

[16]  Gerard Ledwich,et al.  A novel fuzzy logic approach to transformer fault diagnosis , 2000 .

[17]  W. Z. Black,et al.  Real-time thermal model for an oil-immersed, forced-air cooled transformer , 1990 .

[18]  G.H. Kaufmann,et al.  Gas Bubbles In Distribution Transformers , 1977, IEEE Transactions on Power Apparatus and Systems.

[19]  H. H. Wagner,et al.  Detection of Incipient Faults in Transformers by Gas Analysis , 1961, Transactions of the American Institute of Electrical Engineers Part III Power Apparatus and Systems.

[20]  T. C. Cheng,et al.  On-line partial discharge calibration and monitoring for power transformers , 1999 .

[21]  Perfecto Mariño Espiñeira,et al.  Programmable electronic instrument for condition monitoring of in service power transformers , 2004, Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.04CH37510).

[22]  Ruijin Liao,et al.  An Integrated Decision-Making Model for Condition Assessment of Power Transformers Using Fuzzy Approach and Evidential Reasoning , 2011, IEEE Transactions on Power Delivery.

[23]  W.H. Tang,et al.  An evidential reasoning approach to transformer condition assessments , 2004, IEEE Transactions on Power Delivery.

[24]  Q. H. Wu,et al.  Dissolved gas analysis using evidential reasoning , 2005 .

[25]  Taher Niknam,et al.  Using correlation coefficients for locating partial discharge in power transformer , 2011 .

[26]  W.H. Tang,et al.  A simplified transformer thermal model based on thermal-electric analogy , 2004, IEEE Transactions on Power Delivery.

[27]  Subhransu Ranjan Samantaray,et al.  Decision Tree based discrimination between inrush currents and internal faults in power transformer , 2011 .

[28]  Seyed Hossein Hosseinian,et al.  A wavelet-based method to discriminate internal faults from inrush currents using correlation coefficient , 2010 .