Abstract:
A self-learning diagnostic system provides diagnostics capabilities which may be applied to a population of networked machines or components and assemblies in a product. The self-learning diagnostic system uses both the components own historical data and the data for an entire population of networked machines of a given product in the field as the training set to adjust critical threshold parameters for detection and diagnosis. The system includes a nominal diagnostic threshold setting module which sets initial thresholds and an adjustment module, which adjusts thresholds continuously based on machine performance data. A service records evaluation module checks service records periodically for correlations and an adjustment module adjust service strategies based on correlation data.
Abstract:
The present invention relates to applying usage or weighting factors to static cycle counts or nullclicksnull as tallied in a document processing system. The application of weighting factors to a system cycle count when suitably summed will provide superior measure of the wear to a replaceable element as well as improved indication for the determination of the end of life for a replaceable element in that system. As such the more timely service or substitution for that replaceable element in the system can be provided, thereby allowing costs and service down-time to be minimized.
Abstract:
A printing apparatus includes a stepper motor automated self-test routine that gives an approximation of the state of the degradation of the stepper motor and/or its driven load. The test includes artificially increasing the starting frequency above normal and/or reducing the operation current below normal by a known and controllable amount to the stepper motor and tracking the level at which the motor is just able to start operating. By examining the magnitude and/or change in these levels, the remaining life and reliability of the motor can be predicted. Alternatively, the self-test routine could be used in conjunction with paper path sensors to determine the start time for a stepper motor. The start times are stored for trend analysis.
Abstract:
The present invention relates to providing supplemental counts or nullclicksnull to account for recovery conditions in a document processing system. Furthermore, these recovery condition nullclicksnull will be further modified depending upon the type of recovery condition encountered. The application of recovery counts thus modified when combined with the system cycle count and suitably summed will provide superior measure of the wear for a replaceable element as well as improved indication for the determination of the end of life of a replaceable element in that system. In this manner, the more timely service or substitution for that replaceable element in the system can be provided, thereby allowing costs and service down-time to be minimized.
Abstract:
The present invention relates to providing supplemental counts or nullclicksnull to account for recovery conditions in a document processing system. The application of recovery counts combined with the system cycle count when suitably summed will provide superior measure of the wear for a replaceable element as well as improved indication for the determination of the end of life of a replaceable element in that system. In this manner the more timely service or substitution for that replaceable element in the system can be provided, thereby allowing costs and service down-time to be minimized.