US Patent Application 17664764. PREDICTIVE VEHICLE TROUBLESHOOTING METHODS AND SYSTEMS simplified abstract
Contents
PREDICTIVE VEHICLE TROUBLESHOOTING METHODS AND SYSTEMS
Organization Name
GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor(s)
Sridhar Kamma of Austin TX (US)
Gregory Morrow of Austin TX (US)
Thomas Sandrisser of Austin TX (US)
PREDICTIVE VEHICLE TROUBLESHOOTING METHODS AND SYSTEMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17664764 titled 'PREDICTIVE VEHICLE TROUBLESHOOTING METHODS AND SYSTEMS
Simplified Explanation
- The patent application is about vehicle diagnostic methods and systems that provide step-by-step troubleshooting guidance. - The method involves determining a sequence of recommended troubleshooting actions for resolving a potential fault condition associated with a diagnostic code. - The recommended troubleshooting actions are based on a vehicle component associated with the diagnostic code and metadata associated with the vehicle. - Historical diagnostics data is used to determine the sequence of recommended troubleshooting actions. - The recommended troubleshooting actions are provided within a client application on a client device. - Graphical indicia of the recommended troubleshooting actions are displayed in accordance with the sequence. - The probability of resolution associated with each recommended troubleshooting action is based on historical diagnostics data. - The goal is to provide predictive troubleshooting guidance to help resolve vehicle faults efficiently.
Original Abstract Submitted
Vehicle diagnostic methods and systems are provided for providing predictive step-by-step troubleshooting guidance. One method involves determining a sequence of recommended troubleshooting actions for resolving a potential fault condition associated with a diagnostic code based at least in part on a vehicle component associated with the diagnostic code and metadata associated with the vehicle using historical diagnostics data and sequentially providing, within a client application at a client device, graphical indicia of the recommended troubleshooting actions in accordance with the sequence based on a respective probability of resolution associated with the respective recommended troubleshooting actions based at least in part on the historical diagnostics data.
