Abstract: A method is provided for enhancing service diagnostics utilizing service repair data of previously serviced vehicles. Service repair data of previously serviced vehicles is obtained from a memory storage device. The service data is compiled into a service diagnostic code dataset and a service labor code dataset. The service diagnostic code dataset and service labor code dataset are categorized into an electronic data table. Respective combinations are formed in the electronic data table. An aggregate count is determined for each respective combination in the electronic data table. Either of a respective diagnostic code or a respective service labor code is identified having a correlation with more than one of either service diagnostic codes or service labor codes. At least one of a service repair procedure used to repair the vehicle or a respective service diagnostic code used to identify the fault is modified in response to analyzing the respective combinations.

Abstract: A vehicle repair assist system for repairing a vehicle fault in a vehicle. A symptom input module is provided for entering vehicle symptom information relating to the fault. A diagnostic code module retrieves diagnostic trouble codes from the vehicle. The diagnostic trouble codes are generated in response to a fault occurrence. A knowledge-based fault module identifies potential causes of the vehicle fault based on at least one of the symptom information and diagnostic trouble codes. A repair assistant module identifies recommended repair parts and repair procedures for repairing the cause of the vehicle fault. The repair assistant module communicates with the knowledge-based fault module for obtaining a prioritized listing of the recommended repair parts and repair procedures for repairing the vehicle fault.

Abstract: A vehicle includes a suspension system operatively connecting a vehicle body to a plurality of wheels for maintaining contact between the wheels and a road surface, and for maintaining handling of the vehicle. A system for steering the vehicle and a braking system for decelerating the vehicle are also included. The vehicle additionally includes a plurality of thrusters, wherein at least one of the thrusters is arranged relative to each wheel and each of the plurality of thrusters is configured to generate a force. Furthermore, the vehicle additionally includes a controller configured for regulating the force generated by each of the thrusters to assist the suspension system with maintaining contact between the wheels and the road surface and maintaining handling, assist the steering system with steering, and assist the braking system with decelerating the vehicle. A method of assisting the vehicle suspension, steering, and braking systems is also disclosed.

Abstract: A vehicle includes a suspension system operatively connecting a vehicle body to a plurality of wheels for maintaining contact between the wheels and a road surface, and for maintaining handling of the vehicle. A system for steering the vehicle and a braking system for decelerating the vehicle are also included. The vehicle additionally includes a plurality of thrusters, wherein at least one of the thrusters is arranged relative to each wheel and each of the plurality of thrusters is configured to generate a force. Furthermore, the vehicle additionally includes a controller configured for regulating the force generated by each of the thrusters to assist the suspension system with maintaining contact between the wheels and the road surface and maintaining handling, assist the steering system with steering, and assist the braking system with decelerating the vehicle. A method of assisting the vehicle suspension, steering, and braking systems is also disclosed.

Abstract: A method and system for comparing and merging fault models which are derived from different data sources. Two or more fault models are first represented as bipartite weighted graphs, which define correlations between failure modes and symptoms. The nodes of the graphs are compared to find failure modes and symptoms which are the same even though the specific terminology may be different. A graph matching method is then used to compare the graphs and determine which failure mode and symptom correlations are common between them. Finally, smoothing techniques and domain expert knowledge are used to merge and update the fault models, producing an integrated fault model which can be used by onboard vehicle systems, service facilities, and others.

Abstract: A system and method for providing autonomous and remote vehicle maintenance and repair. The system employs an on-board diagnosis and prognosis module that monitors one or more vehicle buses to identify trouble codes and other information indicating a vehicle problem. The on-board module causes a telematic device on the vehicle to broadcast a message including a problem code that identifies the problem the vehicle is having. A remote repair center may receive the message and may identify a software upgrade patch associated with the problem that can be transmitted to the vehicle to upgrade its software to correct the problem. Also, the message may be received by another vehicle that is part of a broadcast network that has previously received the software upgrade patch to fix a problem on that vehicle, where the receiving vehicle may transmit the software upgrade patch to the vehicle having the problem.

Abstract: A method is provided for enhancing service diagnostics utilizing service repair data of previously serviced vehicles. Service repair data of previously serviced vehicles is obtained from a memory storage device. The service data is compiled into a service diagnostic code dataset and a service labor code dataset. The service diagnostic code dataset and service labor code dataset are categorized into an electronic data table. Respective combinations are formed in the electronic data table. An aggregate count is determined for each respective combination in the electronic data table. Either of a respective diagnostic code or a respective service labor code is identified having a correlation with more than one of either service diagnostic codes or service labor codes. At least one of a service repair procedure used to repair the vehicle or a respective service diagnostic code used to identify the fault is modified in response to analyzing the respective combinations.

Abstract: An integrated diagnosis and prognosis system that collects vehicle information over the life of a vehicle and its development. The system provides the collected vehicle information to supplier management, product development management, service/dealership management, customer relations departments and production facilities, which use the information to take certain action for existing vehicles, fleets of vehicles or future vehicles to improve vehicle reliability and quality.

Abstract: A system and method that allow non-human autonomous agents to participate in a social internet network. The system defines the autonomous agent by a standard email address, website address, or other such identification, that allows human participants of the social network to contact the non-human autonomous agent to perform some operation through the Internet. In one non-limiting example, the non-human autonomous agent is a vehicle that allows the vehicle owner, or user, to contact the vehicle through the social network to perform some operation, such as unlocking the vehicle doors, and allow authorized participants of the social network to see the vehicle as a participant of the network to gain information therefrom, such as the location of the vehicle.

Abstract: A system and method for enhancing vehicle diagnostic and prognostic algorithms and improving vehicle maintenance practices. The method includes collecting data from vehicle components, sub-systems and systems, and storing the collected data in a database. The collected and stored data can be from multiple sources for similar vehicles or similar components and can include various types of trouble codes and labor codes as well as other information, such as operational data and physics of failure data, which are fused together. The method generates classes for different vehicle components, sub-systems and systems, and builds feature extractors for each class using data mining techniques of the data stored in the database. The method also generates classifiers that classify the features for each class. The feature extractors and feature classifiers are used to determine when a fault condition has occurred for a vehicle component, sub-system or system.

Abstract: A system and method for collecting and analyzing information from environmental occurrences that may have an adverse effect on electrical components in the vehicle. The information is passed up through a hierarchical structure to a higher level controller where the information can be used to detect the health of various electrical components and sub-systems on the vehicles. The vehicle may employ sensors that are specifically provided to detect environmental disturbances or abnormal conditions on the vehicle, or may use electrical devices on the vehicle used for other purposes that have the capability of detecting such disturbances and conditions.

Abstract: A vehicle fault diagnosis and prognosis system includes a computing platform configured to receive a classifier from a remote server, the computing platform tangibly embodying computer-executable instructions for evaluating data sequences received from a vehicle control network and applying the classifier to the data sequences, wherein the classifier is configured to determine if the data sequences define a pattern that is associated with a particular fault.

Abstract: A method for verifying and improving a vehicle fault model is disclosed. The method includes analyzing the available field failure data that includes vehicle symptoms and failures for many vehicles. The method performs an analysis using the field failure data that includes using subject matter expert knowledge to determine the most significant failure modes and the most significant symptoms. The method also includes learning simulation parameters from the field failure data and simulating faults using the learned simulation parameters. The method further includes verifying and validating the fault model based on the most significant failure modes and the most significant symptoms from the what-if analysis and the faults identifies by the simulation, and using a diagnostic reasoner to analyze the revised fault model to generate estimated faults. The method then compares the estimated faults to the simulated faults to determine true detection and false alarm rates for a benefit analysis.

Abstract: A system and method for reducing or eliminating built-in tests and diagnostic trouble codes that are set as a result of improper parameter values. The method includes collecting field failure data that identifies diagnostic trouble codes and parameters of the system that are used to set diagnostic trouble codes. The method transforms the collected data into a format more appropriate for human analysis and pre-processes the transferred data to identify and remove information that could bias the human analysis. The method includes plotting linear and nonlinear combinations of operation parameters, performing data mining and analysis for detecting inappropriate settings of fault codes in the pre-processed data and providing the mined data to a subject matter expert for review to determine whether a diagnostic trouble code has been issued because of improper parameters.

Abstract: A vehicle software installation, upgrade, and diagnostic system for use in vehicle assembly, upgrade, and repair, includes a portable memory device, such as a USB flash disk. The device receives diagnostic information via an open architecture communications port of a vehicle, such as a USB port. An external processor has a complimentary open architecture communications port and is adapted to receive and analyze the diagnostic information from the portable device. According to various aspects, analysis of the diagnostic information verifies successful installation and testing of vehicle software transferred from the portable device to vehicle processors, identifies software versions resident on the vehicle and related upgrade history for download and installation of an appropriate software upgrade, and/or diagnoses vehicle problems in accordance with sensed vehicle conditions and predetermined fault detection criteria.

Abstract: A system and method for enhancing vehicle diagnostic and prognostic algorithms and improving vehicle maintenance practices. The method includes collecting data from vehicle components, sub-systems and systems, and storing the collected data in a database. The collected and stored data can be from multiple sources for similar vehicles or similar components and can include various types of trouble codes and labor codes as well as other information, such as operational data and physics of failure data, which are fused together. The method generates classes for different vehicle components, sub-systems and systems, and builds feature extractors for each class using data mining techniques of the data stored in the database. The method also generates classifiers that classify the features for each class. The feature extractors and feature classifiers are used to determine when a fault condition has occurred for a vehicle component, sub-system or system.

Abstract: An integrated diagnosis and prognosis system that collects vehicle information over the life of a vehicle and its development. The system provides the collected vehicle information to supplier management, product development management, service/dealership management, customer relations departments and production facilities, which use the information to take certain action for existing vehicles, fleets of vehicles or future vehicles to improve vehicle reliability and quality.

Abstract: A system and method for providing autonomous and remote vehicle maintenance and repair. The system employs an on-board diagnosis and prognosis module that monitors one or more vehicle buses to identify trouble codes and other information indicating a vehicle problem. The on-board module causes a telematic device on the vehicle to broadcast a message including a problem code that identifies the problem the vehicle is having. A remote repair center may receive the message and may identify a software upgrade patch associated with the problem that can be transmitted to the vehicle to upgrade its software to correct the problem. Also, the message may be received by another vehicle that is part of a broadcast network that has previously received the software upgrade patch to fix a problem on that vehicle, where the receiving vehicle may transmit the software upgrade patch to the vehicle having the problem.

Abstract: A system and method for collecting and analyzing information from environmental occurrences that may have an adverse effect on electrical components in the vehicle. The information is passed up through a hierarchical structure to a higher level controller where the information can be used to detect the health of various electrical components and sub-systems on the vehicles. The vehicle may employ sensors that are specifically provided to detect environmental disturbances or abnormal conditions on the vehicle, or may use electrical devices on the vehicle used for other purposes that have the capability of detecting such disturbances and conditions.

Abstract: A system and method for providing proactive vehicle system management and maintenance using diagnostic and prognostic information. Vehicle information is collected from vehicle sensors and/or sub-systems by an on-board module on the vehicle and/or at a remote facility where the information is wirelessly transmitted to the remote facility. The collected information is analyzed to determine the health of various systems, sub-systems and components so that the remaining useful life of the systems, sub-systems and components can be predicted. By utilizing the diagnostic and prognostic information, a vehicle control strategy can be reconfigured to minimize customer impact. Further, if a software problem is detected, temporary or permanent software fixes can be provided automatically and remotely through a remote service garage.