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de Bruin, T.D. (author), Verbert, K.A.J. (author), Babuska, R. (author)
Timely detection and identification of faults in railway track circuits are crucial for the safety and availability of railway networks. In this paper, the use of the long-short-term memory (LSTM) recurrent neural network is proposed to accomplish these tasks based on the commonly available measurement signals. By considering the signals from...
journal article 2017