| Patent application number | Description | Published |
|---|
| 20090265364 | METHOD AND PROCESS FOR AUTOMATIC GENERATION OF SYMPTOM CODES FROM TEXTUAL PROBLEM DESCRIPTIONS TO ENABLE PROBLEM CLASSIFICATION, EARLY WARNING TREND PREDICTION, AND FAST RECALL OF PROGNOSTIC/DIAGNOSTIC SOLUTIONS - A system and method for converting text related to vehicle service to symptom codes. The method includes typing into work orders and service reports statements that describe the various symptoms and problems of a vehicle that is being serviced. The work orders and service reports are then transmitted to a database facility where they are analyzed. Prior to the reports being analyzed, the text in the work order and service reports is read by a machine reader that converts the text to symptom codes that describe particular vehicle conditions and symptoms. A processor analyzes the codes for patterns and other relationships, and can provide a display of such patterns. Further, the codes and reports are stored in a memory. | 10-22-2009 |
| 20100030357 | METHOD FOR DISTRIBUTED HYBRID EMULATION OF MANUFACTURING SYSTEMS - Manufacturing facility process optimization includes monitoring communication signals within a facility device network, analyzing work station specific patterns in the communication signals, developing operational dependencies for work stations based upon the work station specific patterns, and predictively evaluating impacts to the work stations of the proposed configuration of the manufacturing facility process based upon the operational dependencies. | 02-04-2010 |
| 20100057479 | SYSTEM AND METHOD TO COMPUTE VEHICLE HEALTH INDEX FROM AGGREGATE DATA - A system and method for determining the state of health of a vehicle based on a determination of factored miles. The method includes collecting data from a group of vehicle of a common model type as aggregate data and data from a particular vehicle as individual data. The aggregate data and the individual data are used to determine a percent degradation of sub-systems and components on the vehicle, and an overall percent degradation is determined by accumulating the percent degradation for the sub-systems and components. The accumulated percent degradation is then used to determine a factored miles value that is an indication of the state of health of the vehicle based on vehicle driving conditions and other considerations. The factored miles can then be used by various business models to determine the value of a vehicle. | 03-04-2010 |
| 20100191414 | INTEGRATED DIAGNOSIS AND PROGNOSIS SYSTEM AS PART OF THE CORPORATE VALUE CHAIN - 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. | 07-29-2010 |
| 20100228423 | AGGREGATED INFORMATION FUSION FOR ENHANCED DIAGNOSTICS, PROGNOSTICS AND MAINTENANCE PRACTICES OF VEHICLES - 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. | 09-09-2010 |
| 20110137711 | DETECTING ANOMALIES IN FIELD FAILURE DATA - A method of detecting anomalies in the service repairs data of equipment. A failure mode-symptom correlation matrix correlates failure modes to symptoms. Diagnostic trouble codes are collected for an actual repair for the equipment. The diagnostic trouble codes are provided to a diagnostic reasoner for identifying failure modes. Diagnostic assessment is applied by the diagnostic reasoner for determining the recommended repairs to perform on the equipment in response to identifying the failure modes. Each of the recommended repairs is compared with the actual repair used to repair the equipment. A mismatch is identified in response to any recommended repair not matching the actual repair. Reports are generated for displaying all of the identified mismatches. The reports are analyzed for determining repair codes having an increase in a number of anomalies. Service centers are alerted of a correct repair for the identified failure mode. | 06-09-2011 |
