Invention Grant
- Patent Title: Analysis of vehicle data to predict component failure
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Application No.: US14447235Application Date: 2014-07-30
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Publication No.: US09881428B2Publication Date: 2018-01-30
- Inventor: James Ronald Barfield, Jr. , Stephen Christopher Welch , Marc Edmond Barbier
- Applicant: Verizon Patent and Licensing Inc.
- Applicant Address: US NJ Basking Ridge
- Assignee: Verizon Patent and Licensing Inc.
- Current Assignee: Verizon Patent and Licensing Inc.
- Current Assignee Address: US NJ Basking Ridge
- Main IPC: G06F19/00
- IPC: G06F19/00 ; G07C5/00 ; G05B23/02 ; G07C5/08

Abstract:
Vehicle data may be analyzed to predict potential component failures, diagnostic trouble codes (DTCs), or other mechanical failures relating to the vehicle. In one implementation the vehicle data may be received from a number of vehicles, the vehicle data including DTCs generated by on-board diagnostic (OBD) systems of the vehicles. The vehicle data may be evaluated using a predictive model to output predictions of DTCs that are likely to occur for a particular vehicle.
Public/Granted literature
- US20160035150A1 ANALYSIS OF VEHICLE DATA TO PREDICT COMPONENT FAILURE Public/Granted day:2016-02-04
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