US Patent Issued to WUHAN UNIVERSITY, State Grid Tianjin Electric Power on Oct. 7 for "Method for diagnosing transformer fault based on deep coupled dense convolutional neural network" (Chinese Inventors)

ALEXANDRIA, Va., Oct. 8 -- United States Patent no. 12,436,205, issued on Oct. 7, was assigned to WUHAN UNIVERSITY (Wuhan, China) and State Grid Tianjin Electric Power Co. (Tianjin, China).

"Method for diagnosing transformer fault based on deep coupled dense convolutional neural network" was invented by Yigang He (Wuhan, China), Zihao Li (Wuhan, China), Jianfeng Wang (Wuhan, China), Xiaoyu Liu (Wuhan, China), Shiqian Ma (Wuhan, China) and Qingwu Gong (Wuhan, China).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method for diagnosing transformer fault based on a deep coupled dense convolutional neural network, includes: obtaining datasets of dissolved gas in oil of a transformer in normal and fault states; e...