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 Method and system for condition monitoring of vehicles

Details
Inventors: Fiechter, Claude-Nicolas; Goker, Mehmet H.; Grill, Daniel; Kaufmann, Rainer; Engelhardt, Thorsten; Bertsche, Achim;
Assignee: DaimlerChrysler AG ()
Primary Examiner: Zanelli; Michael J.
Assistant Examiner:
Attorney, Agent or Firm: Crowell & Moring LLP

A method and system for an improved vehicle monitoring system in order to provide a cost-effective and scalable system design for industrial application through the use of machine learning and data mining technologies on data acquired from a plurality of vehicles to create models. Frequent acquisition of vehicle sensor and diagnostic data enables comparison with the created models to provide continuing analysis of the vehicle with respect to repair, maintenance and diagnostics.

DETAILED DESCRIPTION The present invention, is addressed to a system and a method for an improved vehicle-monitoring system in order to provide a cost-effective and scalable system design for industrial application.
Machine learning and data mining technologies are used on data acquired from a plurality of vehicles in order to create models.
Frequent acquisition of vehicle sensor and diagnostic data enables comparison with the created models to provide continuing analysis of the vehicle for repair, maintenance and diagnostics.
State of the art vehicles include a variety of communication systems, control systems and safety and diagnostic systems along with their associated sensors.
Examples of these systems include engine control systems, diagnostic and maintenance computers, brake and stability systems and telematics devices.
Exchange of information including control, status and diagnostic messages between Embedded Control Units sensors and associated devices is accomplished with a vehicle data bus infrastructure.
An example is an engine bus system such as the Controller Area Network (CAN).
The on-board diagnostic systems process sensor readings and diagnostic information of the vehicle Embedded Control System in order to detect defaults.
The maintenance systems on-board the vehicle continuously process sensor readings to determine the condition of the vehicle systems, parts and lubricants (e.
g.
, brake pad wear, battery quality, and oil quality).
Off-board diagnostic systems, such as workplace testing equipment, acquire vehicle diagnostics and sensor data or control on-board diagnostics and testing functions.
The system uses OEM proprietary or standardized interfaces, for example, OBD to connect to the vehicle.
Physical connections link the vehicle and the workshop test equipment, with short-range wireless communication systems eventually replacing cable connections.
The current state of the art with respect to tele-diagnostics provides communication features of telemetrics in order to connect vehicle diagnostics systems with off-board service centers



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