Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : November 23, 2018 - November 25, 2018
Oil-filled power transformers play an important role in the modern network system. Stability of power supply can be achieved by early detection of power transformer fault and continuous monitoring of equipment status. However conventional diagnosis approaches for power transformers depend upon the experience and high technology of human experts. Therefore in this paper, artificial intelligence techniques are applied to the fault intelligent diagnosis for power transformers. Furthermore the predicted results of fault diagnosis are verified by using actual database.
