Abstract: A diagnostic system for a fuel injector includes a plurality of sensors to sense vehicle data. A controller includes a fuel injector diagnostic module configured to receive the vehicle data during operation of the vehicle and to selectively identify at least one of a fuel injector with a stuck armature and a fuel injector with pintle fatigue.

Abstract: A method of using an adaptive fault diagnostic system for motor vehicles is provided. A diagnostic tool collects unlabeled data associated with a motor vehicle, and the unlabeled data is transmitted to a central computer. An initial diagnostic model and labeled training data associated with previously identified failure modes and known health conditions are transmitted to the central computer. The central computer executes a novelty detection technique to determine whether the unlabeled data is novelty data corresponding with a new failure mode or normal data corresponding with one of the previously identified failure modes or known health conditions. The central computer selects an informative sample from the novelty data. A repair technician inputs a label for the informative sample, and the central computer propagates the label from the informative sample to the associated novelty data. The central computer updates the labeled training data to include the labeled novelty data.

Abstract: A control system for identifying and responding to effective system changes in a monitored system includes data collection, change identification, classifier construction, effective system change and parameter adjustment modules. The data collection module tracks parameters of the monitored system. The change identification module, based on the parameters, identifies: during training, performance changes and first system changes; and post training, a set of performance changes and second system changes. The classifier construction module, based on the performance changes and the first system changes construct a performance-system change classifier module. The performance-system change classifier module, based on the set of performance changes, determines possible system changes and respective probability values. The effective system change module, based on the second and possible system changes, determines effective system changes and respective probability values.

Abstract: A system and method of performing fault diagnosis and analysis for one or more vehicles. The method includes: obtaining design failure mode and effect analysis (DFMEA) data that specifies a plurality of failure modes; receiving diagnostic association data; receiving vehicle operation signals association data; generating augmented DFMEA data that indicates a causal relationship between the diagnostic data and the first set of failure modes, and that indicates a causal relationship between the vehicle operation signals data and the second set of failure modes, wherein the augmented DFMEA data is generated based on the DFMEA data, the diagnostic association data, and the vehicle operation signals association data; and performing fault diagnosis and analysis for the one or more vehicles using the augmented DFMEA data.

Abstract: A fault diagnostic system includes: memory including a fault model, the fault model including: a plurality of failure modes of a vehicle; and symptoms respectively associated with each of the failure modes; an updating module configured to: based on a data set, determine a new failure mode that is not already included in the fault model and new symptoms indicative of the occurrence of the new failure mode; modify the fault model by: adding the new failure mode to the fault model; and adding the new symptoms to the fault model in association with the new failure mode; and re-save the fault model in the memory.

Abstract: A scheduling controller in communication with a plurality of autonomous vehicles is described, and includes an operator request compiler, a fleet state-of-health database, an environmental conditions compiler and a fleet scheduling controller. The fleet scheduling controller is configured to deploy the autonomous vehicles based upon inputs from the operator request compiler, the fleet state-of-health database and the environmental conditions compiler. A process for coordinating a fleet of autonomous vehicles includes determining states of health for the autonomous vehicles, and determining a desired autonomous vehicle use requirement from each of a plurality of operators that are associated with the autonomous vehicles. A usage schedule for each of the autonomous vehicles is determined based upon the states of health and the desired autonomous vehicle use requirements from the operators. The autonomous vehicles are deployed based upon the usage schedule.

Abstract: A method of root cause diagnosis of fault data from a vehicle includes identifying a first vehicle fault and selecting from field repair data a vehicle feature corresponding to the identified first vehicle fault. The method also includes identifying from the field repair data an effective repair of the identified first vehicle fault. The method additionally includes training and testing via a machine learning algorithm, a labor code classifier using the identified effective repair of the first vehicle fault and the selected vehicle feature corresponding to the identified first vehicle fault. The method also includes identifying and classifying, using the trained classifier, indistinguishable labor codes. Furthermore, the method includes communicating the identified and classified indistinguishable labor codes for diagnosing a root cause of real time first vehicle fault data.

Abstract: A method for planning and adapting a recommended travel route to a route destination for a vehicle having various subsystems includes identifying the route destination and receiving vehicle health management (VHM)/state of health (SOH) information for each subsystem. The vehicle with a controller programmed to execute the method is also disclosed. The method includes calculating route characteristics of candidate travel routes to the destination using the VHM information and determining, from among the candidate travel routes, travel routes for which the characteristics meet a respective threshold requirement. Thereafter, the controller executes a control action by displaying a candidate route meeting the threshold requirements. An occupant is prompted to revise the mission requirements when no candidate route exists. A default route to a designated parking location or repair depot may be displayed when none of the candidate routes meet the threshold requirements.

Abstract: A method for use with a vehicle having one or more subsystems includes receiving vehicle health management (VHM) information via a controller indicative of a state of health of the subsystem. The VHM information is based on prior testing results of the subsystem. The method includes determining a required testing profile using the testing results, applying the testing profile to the subsystem to thereby control a state of the subsystem, and measuring a response of the subsystem to the applied testing profile. The method also includes recording additional testing results in memory of the controller that is indicative of a response of the subsystem to the applied testing profile. The vehicle includes a plurality of subsystems and a controller configured to execute the method.

Abstract: A functionalized adhesive and systems and methods employing the same are disclosed. The functionalized adhesive is configured to form an adhesive joint between a first substrate and a second substrate. The functionalized adhesive comprises a neat adhesive selected to have a bonding strength above a predetermined bonding threshold and a filler selectively dispersed within the neat adhesive. The filler is selected to modify electrical properties of the neat adhesive such that the functionalized adhesive is electrically conductive with a tailored resistivity and such that a resistance of the adhesive joint is greater than a resistance of the first substrate and the second substrate.

Abstract: A controller architecture for monitoring an autonomic vehicle control system includes a first controller, a second controller, a telematics controller, a third controller, a plurality of subsystem controllers, a first and a second communication bus, and a first and a second communication link. The telematics controller in communication with the first controller. The second controller includes a second processor and a second memory device. Each subsystem controller is configured to effect operation of one of a subsystem, wherein each of the subsystem controllers includes a vehicle health monitor (VHM) agent. The third controller includes a third processor and a third memory device. A first instruction set includes a prognostic classification routine based upon inputs from the VHM agents of the plurality of subsystem controllers. The telematics controller is disposed to communicate an output from the prognostic classification routine to an off-board controller.

Abstract: A functionalized adhesive and systems and methods employing the same are disclosed. The functionalized adhesive is configured to form an adhesive joint between a first substrate and a second substrate. The functionalized adhesive comprises a neat adhesive selected to have a bonding strength above a predetermined bonding threshold and a filler selectively dispersed within the neat adhesive. The filler is selected to modify electrical properties of the neat adhesive such that the functionalized adhesive is electrically conductive with a tailored resistivity and such that a resistance of the adhesive joint is greater than a resistance of the first substrate and the second substrate.

Abstract: An engine fuel delivery system, prognosis system, and method of conducting a fuel pump solenoid prognosis are provided. The engine fuel delivery system includes a fuel pump having a pumping chamber, a closeable inlet valve (such as a fuel pump control solenoid), and a fuel rail to communicate pressurized fuel received from the fuel pump to at least one engine cylinder. The engine fuel delivery system, prognosis system, and method are configured to determine a solenoid current feedback of a fuel pump control solenoid and a variation in the feedback. The fuel delivery system, prognosis system, and method are further configured to indicate a potential solenoid electrical connection fault if the solenoid current feedback is less than a predetermined current threshold and less than a predetermined variation threshold, and to indicate a potential solenoid weakened electromagnetic field fault if the solenoid current feedback is greater than the predetermined variation threshold.

Abstract: An engine fuel delivery system, prognosis system, and method of conducting a fuel pump solenoid prognosis are provided. The engine fuel delivery system includes a fuel pump having a pumping chamber, a closeable inlet valve (such as a fuel pump control solenoid), and a fuel rail to communicate pressurized fuel received from the fuel pump to at least one engine cylinder. The engine fuel delivery system, prognosis system, and method are configured to determine a solenoid current feedback of a fuel pump control solenoid and a variation in the feedback. The fuel delivery system, prognosis system, and method are further configured to indicate a potential solenoid electrical connection fault if the solenoid current feedback is less than a predetermined current threshold and less than a predetermined variation threshold, and to indicate a potential solenoid weakened electromagnetic field fault if the solenoid current feedback is greater than the predetermined variation threshold.

Abstract: A method for diagnosing a fault mode in a system includes recording a hierarchical precedence rule assigning a priority level to fault modes of the system, and recording, in a fault report matrix, fault reports indicative of a corresponding one or more of the fault modes. The method also includes using the hierarchical precedence rule to determine the assigned relative priority level for the fault reports in response to a predetermined condition, e.g., a requested engine starting event, and identifying a root cause subsystem as a subsystem having the highest assigned priority level. A control action executed via the controller identifies the root cause subsystem by recording a diagnostic code and/or transmitting a message. The system is also disclosed, as is a computer-readable medium programmed with instructions embodying the method.

Abstract: A method for use with a vehicle having one or more subsystems includes receiving vehicle health management (VHM) information via a controller indicative of a state of health of the subsystem. The VHM information is based on prior testing results of the subsystem. The method includes determining a required testing profile using the testing results, applying the testing profile to the subsystem to thereby control a state of the subsystem, and measuring a response of the subsystem to the applied testing profile. The method also includes recording additional testing results in memory of the controller that is indicative of a response of the subsystem to the applied testing profile. The vehicle includes a plurality of subsystems and a controller configured to execute the method.

Abstract: A controller architecture for monitoring an autonomic vehicle control system includes a first controller, a second controller, a telematics controller, a third controller, a plurality of subsystem controllers, a first and a second communication bus, and a first and a second communication link. The telematics controller in communication with the first controller. The second controller includes a second processor and a second memory device. Each subsystem controller is configured to effect operation of one of a subsystem, wherein each of the subsystem controllers includes a vehicle health monitor (VHM) agent. The third controller includes a third processor and a third memory device. A first instruction set includes a prognostic classification routine based upon inputs from the VHM agents of the plurality of subsystem controllers. The telematics controller is disposed to communicate an output from the prognostic classification routine to an off-board controller.

Abstract: A method and associated device for automated maintenance scheduling for an autonomous vehicle includes monitoring a state of health (SOH) of an on-vehicle subsystem and monitoring an appointment log associated with a vehicle operator. Upon detecting a change in the SOH of the on-vehicle subsystem, the method includes communicating with a service center to determine a recommended maintenance action associated with the change in the SOH of the on-vehicle subsystem and to determine a proposed service appointment for the autonomous vehicle to effect the recommended maintenance action. The proposed service appointment is coordinated with the appointment log, and verified with the vehicle operator. A service appointment is scheduled based upon the proposed service appointment when verified by the vehicle operator. The appointment log is updated to include the service appointment.

Abstract: A scheduling controller in communication with a plurality of autonomous vehicles is described, and includes an operator request compiler, a fleet state-of-health database, an environmental conditions compiler and a fleet scheduling controller. The fleet scheduling controller is configured to deploy the autonomous vehicles based upon inputs from the operator request compiler, the fleet state-of-health database and the environmental conditions compiler. A process for coordinating a fleet of autonomous vehicles includes determining states of health for the autonomous vehicles, and determining a desired autonomous vehicle use requirement from each of a plurality of operators that are associated with the autonomous vehicles. A usage schedule for each of the autonomous vehicles is determined based upon the states of health and the desired autonomous vehicle use requirements from the operators. The autonomous vehicles are deployed based upon the usage schedule.

Abstract: A method for planning and adapting a recommended travel route to a route destination for a vehicle having various subsystems includes identifying the route destination and receiving vehicle health management (VHM)/state of health (SOH) information for each subsystem. The vehicle with a controller programmed to execute the method is also disclosed. The method includes calculating route characteristics of candidate travel routes to the destination using the VHM information and determining, from among the candidate travel routes, travel routes for which the characteristics meet a respective threshold requirement. Thereafter, the controller executes a control action by displaying a candidate route meeting the threshold requirements. An occupant is prompted to revise the mission requirements when no candidate route exists. A default route to a designated parking location or repair depot may be displayed when none of the candidate routes meet the threshold requirements.