A neural diagnostic system for the monitoring of transformer heating

A new method to monitor and estimate heating of the transformers in electrical power systems is proposed. It is based on neural identification techniques and was tested for a real transformer operating under typical environmental and load conditions. Finally, some considerations on the applicability of the method to real protection and control systems in electrical power networks are also made.

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