公开(公告)号：US20200012944A1

公开(公告)日：2020-01-09

申请号：US16027658

申请日：2018-07-05

Applicant: ALSTOM TRANSPORT TECHNOLOGIES ,  FLORIDA INSTITUTE OF TECHNOLOGY

Inventor： Nenad MIJATOVIC ,  Adrian Manoj PETER ,  Mitchell SOLOMON ,  Kailas V. RAJAN ,  Emily JENSEN

IPC: G06N3/08 ,  B61L23/04

Abstract: Method for detecting switch degradation and failures having steps of collecting and labelling, into predefined categories, switch machine data relative to a predetermined controlled switch placed in supervised environment and conditions; storing the labeled data of each movement switch in a database and pre-processing the labelled data. A learning LSTM weights and cell parameters by performing a training phase on a LSTM network using the pre-processed data, thus obtaining a final LSTM model inclusive of architecture and parameters of the LSTM network suitable for analyzing switch data relative to movements of switches actually located on a railway track; collecting data relative to the movements of a switch located on a railway track; and classifying the switch movements into said categories by applying the collected data to the final LSTM, thus detecting switch degradations and failures.