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公开(公告)号：US20200012944A1
公开(公告)日：2020-01-09
申请号：US16027658
申请日：2018-07-05
Inventor： Nenad MIJATOVIC , Adrian Manoj PETER , Mitchell SOLOMON , Kailas V. RAJAN , Emily JENSEN
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.
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Patent Agency Ranking
2.发明申请公开(公告)号：US20200307660A1
公开(公告)日：2020-10-01
申请号：US16367936
申请日：2019-03-28
Applicant: ALSTOM Transport Technologies
Inventor： Jeffrey FRIES , Nenad MIJATOVIC
IPC: B61L1/18
Abstract: Method, system and software code for calibrating a rail track circuit comprising a plurality of rails coupled to form a track section having a predefined length, a transmit processing unit coupled to the track section at a first end of the track section, and a receive processing unit coupled at the second end of the track section. A transfer function between a transmit voltage applied by the transmit processing unit at the track section and a resulting receive current detected at the receive processing unit is first determined and then applied to the rail track circuit for automatic initial calibration or recalibration.
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公开(公告)号：US20250050922A1
公开(公告)日：2025-02-13
申请号：US18929261
申请日：2024-10-28
Applicant: ALSTOM Transport Technologies
Inventor： Jeffrey FRIES , Nenad MIJATOVIC , Saleheh SEIF , Shilpa CHERIAN
IPC: B61L25/02 , B61L1/18 , B61L13/04 , G06F18/2413
Abstract: A computer implemented method for determining railway vehicle movement profile type of a railway vehicle movement profile, wherein the railway vehicle movement profile includes a sequence of measured transmitted currents of a transceiver of a track circuit with respect to the time, including obtaining a railway vehicle movement profile; normalizing the railway vehicle movement profile; extracting one or more features from the normalized railway vehicle movement profile; determining the distance of the extracted features with respect to each centroid of a railway vehicle movement profile type determined in a classification process; and assigning the railway vehicle movement profile to the railway vehicle movement profile type with the closest centroid.
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公开(公告)号：US20220396298A1
公开(公告)日：2022-12-15
申请号：US17304104
申请日：2021-06-14
Applicant: ALSTOM Transport Technologies
Inventor： Jeffrey FRIES , Nenad MIJATOVIC , Saleheh SEIF , Shilpa CHERIAN
Abstract: A computer implemented method is for determining railway vehicle movement profile type of a railway vehicle movement profile. The railway vehicle movement profile includes a sequence of measured transmitted currents of a transceiver of a track circuit with respect to the time. The method includes obtaining a railway vehicle movement profile, normalizing the railway vehicle movement profile, extracting one or more features from the normalized railway vehicle movement profile, determining the distance of the extracted features with respect to each centroid of a railway vehicle movement profile type determined in a classification process, and assigning the railway vehicle movement profile to the railway vehicle movement profile type with the closest centroid
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公开(公告)号：US20210276601A1
公开(公告)日：2021-09-09
申请号：US16811244
申请日：2020-03-06
Applicant: ALSTOM Transport Technologies
Inventor： Nenad MIJATOVIC , Jeffrey FRIES , Jesse HERLOCKER
IPC: B61L25/02
Abstract: Disclosed is a method for determining the relationship between a track-circuit current signal and a railway vehicle location, including: sending, by a track circuit, current signal across a railway track block; measuring the current signal for different railway vehicles running successively on the railway track block; aligning the measured current signals and calculating a reference curve as the average value of all the aligned curves by using a Dynamic Time Warping algorithm, this reference curve representing the relationship between the track-circuit current signal and the railway vehicle location on the railway track block.
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公开(公告)号：US20200011015A1
公开(公告)日：2020-01-09
申请号：US16027630
申请日：2018-07-05
Inventor： Nenad MIJATOVIC , Adrian Manoj PETER , Kaylen Jamal BRYAN , Charlie Jinshaw TIAN , Christina Mariah COLEY
Abstract: Method for detecting rail switches degradation and failures, the method having the steps of applying a Discrete Wavelet Transform to stored measurement data relative to a switch move to be analysed and obtaining a feature vector associated with said switch move and including Discrete Wavelet Transform coefficients delivered by the applied Discrete Wavelet Transform; comparing the obtained feature vector with feature vectors associated with rail switch moves previously obtained and associating each to a respective health class among several given health classes; and determining a health class for the said switch move to be analyzed by selecting one of the health classes associated with the previously obtained feature vectors based upon the comparison step.
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