A Novel Quench Detection Method Based on CNN-LSTM Model

The quench of high-temperature superconducting (HTS) devices will seriously affect its safety operation. A fast and reliable quench detection method is of great significance for quench protection. In this paper, a quench detection method based on the CNN-LSTM model is proposed. By processing and analyzing the collected voltage signals in real time, the model can realize quench detection instantly and accurately. Furthermore, by adjusting the probability threshold, the sensitivity and the accuracy of the model can be balanced. Based on a series of quench experiments of HTS tapes and derived data, the CNN-LSTM model is trained and tested. The results show that the proposed method is advanced compared with the voltage threshold method.