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公开(公告)号：US11260888B2
公开(公告)日：2022-03-01
申请号：US16193444
申请日：2018-11-16
Applicant: ALSTOM Transport Technologies
Inventor： Song Qin , Nenad Mijatovic , Jeffrey Fries
Abstract: A method and system for health assessment of a track circuit and/or of a track section, the track circuit being configured for detecting the presence of a vehicle on the track section between a transmitting end and a receiving end of the track circuit. The method, implemented by an electronic device, comprises obtaining, from a sensor device placed near the receiving end, samples of an electrical parameter of an electric signal transmitted between the transmitting end and the receiving end of the track section, forming a temporal series of received samples, applying an automatic clustering algorithm to separate the received samples in a predetermined number of clusters, selecting one of the clusters and determining, for the selected cluster, a first peak value of the received samples classified within the selected cluster, and calculating a track circuit health indicator depending on the first peak value determined for the selected cluster.
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公开(公告)号：US20200156674A1
公开(公告)日：2020-05-21
申请号：US16193444
申请日：2018-11-16
Applicant: ALSTOM Transport Technologies
Inventor： Song Qin , Nenad Mijatovic , Jeffrey Fries
Abstract: A method and system for health assessment of a track circuit and/or of a track section, the track circuit being configured for detecting the presence of a vehicle on the track section between a transmitting end and a receiving end of the track circuit. The method, implemented by an electronic device, comprises obtaining, from a sensor device placed near the receiving end, samples of an electrical parameter of an electric signal transmitted between the transmitting end and the receiving end of the track section, forming a temporal series of received samples, applying an automatic clustering algorithm to separate the received samples in a predetermined number of clusters, selecting one of the clusters and determining, for the selected cluster, a first peak value of the received samples classified within the selected cluster, and calculating a track circuit health indicator depending on the first peak value determined for the selected cluster.
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