Unsupervised sheath current data mining system based on generative adversarial network

The invention discloses an unsupervised sheath current data mining system based on a generative adversarial network. The mining system comprises a protection test for establishing a test database and establishing an association rule model library, and the like, wherein the test database is used for receiving current data and mining the current data to obtain target data; a cloud server in communication connection with the test database and used for acquiring the target data and backing up the target data to obtain backup data; and a client server in communication connection with the test database and the cloud server and used for accessing the test database and the cloud server and monitoring the target data mined by the test database and the backup data stored in the cloud server. The technical problem that the online diagnosis and analysis work of the power equipment and the power cable is difficult to progress due to the fact that the operation state data of the power equipment and the power cable has the