Identification of a best thermal formula and model for oil and winding

System identification is about building models from data. A data set is characterized by several pieces of information: The input and output signals, the sampling interval, the variable names and u ...

[1]  Michel Verhaegen,et al.  Identification of the deterministic part of MIMO state space models given in innovations form from input-output data , 1994, Autom..

[2]  John E. Dennis,et al.  Numerical methods for unconstrained optimization and nonlinear equations , 1983, Prentice Hall series in computational mathematics.

[3]  Kourosh Mousavi Takami,et al.  Thermal evaluation and energy saving with loss reduction in core and winding of power transformers , 2007 .

[4]  A. J. Oliver,et al.  Estimation of transformer winding temperatures and coolant flows using a general network method , 1980 .

[5]  Wallace E. Larimore,et al.  Canonical variate analysis in identification, filtering, and adaptive control , 1990, 29th IEEE Conference on Decision and Control.

[6]  K.M. Takami,et al.  A new apparatus for mitigating the hot spot problem in large power transformers using Ants algorithm , 2007, 2007 IEEE Power Engineering Society Conference and Exposition in Africa - PowerAfrica.

[7]  Jafar Mahmoudi,et al.  Evaluation of Large Power Transformer Losses for green house gas and final cost reductions , 2007 .

[8]  Kourosh Mousavi Takami,et al.  A novel device (oil spraying system) for local cooling of hot spot and high temperature areas in power transformer , 2007 .

[9]  T. S. Ramu,et al.  Prediction of hottest spot temperature (HST) in power and station transformers , 2003 .

[10]  K.M. Takami,et al.  Thermal and hot spot evaluations on oil immersed power Transformers by FEMLAB and MATLAB software's , 2007, 2007 International Conference on Thermal, Mechanical and Multi-Physics Simulation Experiments in Microelectronics and Micro-Systems. EuroSime 2007.