Vehicle prognostic tool

A prognostic system for a vehicle in a fleet of vehicles, the system comprising:

• one or more processing circuits comprising one or more memory devices coupled to one or more processors, the one or more memory devices configured to store instructions thereon that, when executed by the one or more processors, cause the one or more processors to:
• receive electronic field performance analytics (eFPA) information related to a component of the vehicle;
• receive vehicle information including operating conditions and historical vehicle information of the vehicle;
• receive fleet information including fleet usage and fleet vehicle types of the fleet of vehicles;
• develop a prognostic model using a machine learning engine that receives the eFPA information, the vehicle information, and the fleet information;
• determine a failure probability using the prognostic model;
• compare the failure probability to a predetermined threshold;
• determine a remaining life of the component when the failure probability is equal to or greater than the predetermined threshold;
• and
• generate and provide a report identifying the component and the remaining life.

A method, comprising:

• receiving information related to a component of the vehicle;
• receiving vehicle information including operating conditions, historical vehicle information of the vehicle, and an operating metric associated with the component;
• receiving fleet information including fleet usage and fleet vehicle types of a fleet of vehicles;
• developing a prognostic model using a machine learning engine that receives the operating metric, the vehicle information, and the fleet information;
• determining a remaining life distance of the component based on a distance associated with the component and using the prognostic model;
• determining a failure distance of the component based on a current vehicle distance and the remaining life distance;
• and
• generating a report identifying the component and the failure distance.