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Vehicle system prognosis device and method

  • US 10,304,263 B2
  • Filed: 12/13/2016
  • Issued: 05/28/2019
  • Est. Priority Date: 12/13/2016
  • Status: Active Grant
First Claim
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1. A method for determining a vehicle system prognosis, the method comprising:

  • detecting a predetermined characteristic of a vehicle with one or more sensors onboard the vehicle;

    obtaining a plurality of sensor signals corresponding to the predetermined characteristic from the one or more sensors;

    receiving, with a processor onboard the vehicle, the plurality of sensor signals from the one or more sensors onboard the vehicle and determining, with the processor onboard the vehicle, an input time series of data based on the sensor signals;

    generating, with the processor onboard the vehicle, a matrix of time series data based on the input time series of data;

    clustering, with the processor onboard the vehicle, the matrix of time series data based on predetermined clustering criteria into a predetermined number of clusters;

    generating a sparse temporal matrix, with the processor onboard the vehicle, based on the predetermined number of clusters, where each cluster comprises a hyperplane within the sparse temporal matrix;

    extracting, with the processor onboard the vehicle, extracted features that are indicative of an operation of a vehicle system from the sparse temporal matrix based on data point behavior with respect to two or more hyperplanes within the sparse temporal matrix and determining an operational status of the vehicle system based on the extracted features; and

    communicating, with the processor onboard the vehicle, the operational status of the vehicle system to an operator or crew member of the vehicle.

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